diff --git a/docs/dyn/discoveryengine_v1alpha.locations.html b/docs/dyn/discoveryengine_v1alpha.locations.html index 804659ea77..b8311a14d2 100644 --- a/docs/dyn/discoveryengine_v1alpha.locations.html +++ b/docs/dyn/discoveryengine_v1alpha.locations.html @@ -122,6 +122,20 @@

Method Details

"allowlistedDomains": [ # Allowlisted domains that can load this widget. "A String", ], + "collectionComponents": [ # Output only. Collection components that lists all collections and child data stores associated with the widget config, those data sources can be used for filtering in widget service APIs, users can return results that from selected data sources. + { # Read-only collection component that contains data store collections fields that may be used for filtering + "dataStoreComponents": [ # For the data store collection, list of the children data stores. + { # Read-only data store component that contains data stores fields that may be used for filtering, it's the child of `CollectionComponent`. + "displayName": "A String", # The display name of the data store. + "id": "A String", # Output only. the identifier of the data store, used for widget service. For now it refers to data_store_id, in the future we will migrate the field to encrypted data store name UUID. + "name": "A String", # The name of the data store. It should be data store resource name Format: `projects/{project_number}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`. For widget service usage, such look up widget config, returned name should be skipped. + }, + ], + "displayName": "A String", # The display name of the collection. + "id": "A String", # Output only. the identifier of the collection, used for widget service. For now it refers to collection_id, in the future we will migrate the field to encrypted collection name UUID. + "name": "A String", # The name of the collection. It should be collection resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection_id}`. For widget service usage, such look up widget config, returned name should be skipped. + }, + ], "configId": "A String", # Output only. Unique obfuscated identifier of a WidgetConfig. "contentSearchSpec": { # A specification for configuring the behavior of content search. # The content search spec that configs the desired behavior of content search. "extractiveContentSpec": { # A specification for configuring the extractive content in a search response. # If there is no extractive_content_spec provided, there will be no extractive answer in the search response. @@ -129,6 +143,7 @@

Method Details

"maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`. "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments. "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments. + "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`. }, "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`. "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response. @@ -145,13 +160,35 @@

Method Details

"preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide. }, "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM. - "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English. + "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). }, - "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary. + "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary. + "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list. }, }, "createTime": "A String", # Output only. Timestamp the WidgetConfig was created. "dataStoreType": "A String", # Output only. The type of the parent data store. + "dataStoreUiConfigs": [ # Configurable UI configurations per data store. + { # UI component configuration for data store. + "facetField": [ # Facet fields that store the mapping of fields to end user widget appearance. + { # Facet fields that store the mapping of fields to end user widget appearance. + "displayName": "A String", # Optional. The field name that end users will see. + "field": "A String", # Required. Registered field name. The format is `field.abc`. + }, + ], + "fieldsUiComponentsMap": { # The key is the UI component. Mock. Currently supported `title`, `thumbnail`, `url`, `custom1`, `custom2`, `custom3`. The value is the name of the field along with its device visibility. The 3 custom fields are optional and can be added or removed. `title`, `thumbnail`, `url` are required UI components that cannot be removed. + "a_key": { # Facet field that maps to a UI Component. + "deviceVisibility": [ # The field visibility on different types of devices. + "A String", + ], + "displayTemplate": "A String", # The template to customize how the field is displayed. An example value would be a string that looks like: "Price: {value}". + "field": "A String", # Required. Registered field name. The format is `field.abc`. + }, + }, + "id": "A String", # Output only. the identifier of the data store, used for widget service. For now it refers to data_store_id, in the future we will migrate the field to encrypted data store name UUID. + "name": "A String", # The name of the data store. It should be data store resource name Format: `projects/{project_number}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`. For widget service usage, such look up widget config, returned name should be skipped. + }, + ], "displayName": "A String", # Required. The human readable widget config display name. Used in Discovery UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. "enableAutocomplete": True or False, # Whether or not to enable autocomplete. "enableConversationalSearch": True or False, # Whether to allow conversational search (LLM, multi-turn) or not (non-LLM, single-turn). @@ -204,7 +241,7 @@

Method Details

"dataStore": "A String", # Required. The parent data store resource name for which the completion is performed, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. "includeTailSuggestions": True or False, # Indicates if tail suggestions should be returned if there are no suggestions that match the full query. Even if set to true, if there are suggestions that match the full query, those are returned and no tail suggestions are returned. "query": "A String", # Required. The typeahead input used to fetch suggestions. Maximum length is 128 characters. - "queryModel": "A String", # Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. * + "queryModel": "A String", # Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. "userPseudoId": "A String", # A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This field should NOT have a fixed value such as `unknown_visitor`. This should be the same identifier as UserEvent.user_pseudo_id and SearchRequest.user_pseudo_id. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an `INVALID_ARGUMENT` error is returned. }, "configId": "A String", # Required. The UUID of the WidgetConfig. This field is used to identify the widget configuration, set of models used to make the auto complete query. @@ -247,8 +284,8 @@

Method Details

"boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents in search results which may affect the converse response. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost) "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20. { # Boost applies to documents which match a condition. - "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. - "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue")) + "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied. + "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))` }, ], }, @@ -343,9 +380,10 @@

Method Details

"preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide. }, "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM. - "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English. + "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). }, - "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary. + "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary. + "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list. }, "userLabels": { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details. "a_key": "A String", @@ -500,7 +538,7 @@

Method Details

}, "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated. "aclInfo": { # ACL Information of the Document. # Access control information for the document. - "readers": [ + "readers": [ # Readers of the document. { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } } "principals": [ # List of principals. { # Principal identifier of a user or a group. @@ -562,8 +600,8 @@

Method Details

"boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost) "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20. { # Boost applies to documents which match a condition. - "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. - "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue")) + "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied. + "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))` }, ], }, @@ -575,6 +613,7 @@

Method Details

"maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`. "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments. "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments. + "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`. }, "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`. "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response. @@ -591,14 +630,20 @@

Method Details

"preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide. }, "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM. - "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English. + "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). }, - "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary. + "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary. + "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list. }, }, "customFineTuningSpec": { # Defines custom fine tuning spec. # Custom fine tuning configs. "enableSearchAdaptor": True or False, # Whether or not to enable and include custom fine tuned search adaptor model. }, + "dataStoreSpecs": [ # A list of data store specs to apply on a search call. + { # A struct to define data stores to filter on in a search call. + "dataStore": "A String", # Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`. + }, + ], "embeddingSpec": { # The specification that uses customized query embedding vector to do semantic document retrieval. # Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path. "embeddingVectors": [ # The embedding vector used for retrieval. Limit to 1. { # Embedding vector. @@ -745,7 +790,7 @@

Method Details

}, "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated. "aclInfo": { # ACL Information of the Document. # Access control information for the document. - "readers": [ + "readers": [ # Readers of the document. { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } } "principals": [ # List of principals. { # Principal identifier of a user or a group. diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.branches.documents.chunks.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.branches.documents.chunks.html new file mode 100644 index 0000000000..d529b95ef0 --- /dev/null +++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.branches.documents.chunks.html @@ -0,0 +1,172 @@ + + + +

Discovery Engine API . projects . locations . collections . dataStores . branches . documents . chunks

+

Instance Methods

+

+ close()

+

Close httplib2 connections.

+

+ get(name, x__xgafv=None)

+

Gets a Document.

+

+ list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+

Gets a list of Chunks.

+

+ list_next()

+

Retrieves the next page of results.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ +
+ get(name, x__xgafv=None) + 
Gets a Document.
+
+Args:
+  name: string, Required. Full resource name of Chunk, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}/chunks/{chunk}`. If the caller does not have permission to access the Chunk, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Chunk does not exist, a `NOT_FOUND` error is returned. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Chunk captures all raw metadata information of items to be recommended or searched in the chunk mode.
+  "content": "A String", # Content is a string from a document (parsed content).
+  "derivedStructData": { # Output only. This field is OUTPUT_ONLY. It contains derived data that are not in the original input document.
+    "a_key": "", # Properties of the object.
+  },
+  "documentMetadata": { # Document metadata contains the information of the document of the current chunk. # Metadata of the document from the current chunk.
+    "title": "A String", # Title of the document.
+    "uri": "A String", # Uri of the document.
+  },
+  "id": "A String", # Unique chunk id of the current chunk.
+  "name": "A String", # The full resource name of the chunk. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document_id}/chunks/{chunk_id}`. This field must be a UTF-8 encoded string with a length limit of 1024 characters.
+}
+
+ +
+ list(parent, pageSize=None, pageToken=None, x__xgafv=None) + 
Gets a list of Chunks.
+
+Args:
+  parent: string, Required. The parent document resource name, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to list Chunks under this document, regardless of whether or not this document exists, a `PERMISSION_DENIED` error is returned. (required)
+  pageSize: integer, Maximum number of Chunks to return. If unspecified, defaults to 100. The maximum allowed value is 1000. Values above 1000 will be coerced to 1000. If this field is negative, an `INVALID_ARGUMENT` error is returned.
+  pageToken: string, A page token ListChunksResponse.next_page_token, received from a previous ChunkService.ListChunks call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to ChunkService.ListChunks must match the call that provided the page token. Otherwise, an `INVALID_ARGUMENT` error is returned.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for ChunkService.ListChunks method.
+  "chunks": [ # The Chunks.
+    { # Chunk captures all raw metadata information of items to be recommended or searched in the chunk mode.
+      "content": "A String", # Content is a string from a document (parsed content).
+      "derivedStructData": { # Output only. This field is OUTPUT_ONLY. It contains derived data that are not in the original input document.
+        "a_key": "", # Properties of the object.
+      },
+      "documentMetadata": { # Document metadata contains the information of the document of the current chunk. # Metadata of the document from the current chunk.
+        "title": "A String", # Title of the document.
+        "uri": "A String", # Uri of the document.
+      },
+      "id": "A String", # Unique chunk id of the current chunk.
+      "name": "A String", # The full resource name of the chunk. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document_id}/chunks/{chunk_id}`. This field must be a UTF-8 encoded string with a length limit of 1024 characters.
+    },
+  ],
+  "nextPageToken": "A String", # A token that can be sent as ListChunksRequest.page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.
+}
+
+ +
+ list_next() + 
Retrieves the next page of results.
+
+        Args:
+          previous_request: The request for the previous page. (required)
+          previous_response: The response from the request for the previous page. (required)
+
+        Returns:
+          A request object that you can call 'execute()' on to request the next
+          page. Returns None if there are no more items in the collection.
+
+
+ + \ No newline at end of file diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.branches.documents.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.branches.documents.html index 19149deec7..b223bf33ab 100644 --- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.branches.documents.html +++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.branches.documents.html @@ -74,6 +74,11 @@

Discovery Engine API . projects . locations . collections . dataStores . branches . documents

Instance Methods

+

+ chunks() +

+

Returns the chunks Resource.

+

close()

Close httplib2 connections.

@@ -86,6 +91,9 @@

Instance Methods

get(name, x__xgafv=None)

Gets a Document.

+

+ getProcessedDocument(name, processedDocumentFormat=None, processedDocumentType=None, x__xgafv=None)

+

Gets the parsed layout information for a Document.

import_(parent, body=None, x__xgafv=None)

Bulk import of multiple Documents. Request processing may be synchronous. Non-existing items will be created. Note: It is possible for a subset of the Documents to be successfully updated.

@@ -118,7 +126,7 @@

Method Details

{ # Document captures all raw metadata information of items to be recommended or searched. "aclInfo": { # ACL Information of the Document. # Access control information for the document. - "readers": [ + "readers": [ # Readers of the document. { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } } "principals": [ # List of principals. { # Principal identifier of a user or a group. @@ -159,7 +167,7 @@

Method Details

{ # Document captures all raw metadata information of items to be recommended or searched. "aclInfo": { # ACL Information of the Document. # Access control information for the document. - "readers": [ + "readers": [ # Readers of the document. { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } } "principals": [ # List of principals. { # Principal identifier of a user or a group. @@ -224,7 +232,7 @@

Method Details

{ # Document captures all raw metadata information of items to be recommended or searched. "aclInfo": { # ACL Information of the Document. # Access control information for the document. - "readers": [ + "readers": [ # Readers of the document. { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } } "principals": [ # List of principals. { # Principal identifier of a user or a group. @@ -255,6 +263,35 @@

Method Details

} +
+ getProcessedDocument(name, processedDocumentFormat=None, processedDocumentType=None, x__xgafv=None) + 
Gets the parsed layout information for a Document.
+
+Args:
+  name: string, Required. Full resource name of Document, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to access the Document, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Document does not exist, a `NOT_FOUND` error is returned. (required)
+  processedDocumentFormat: string, What format output should be. If unspecified, defaults to JSON.
+    Allowed values
+      PROCESSED_DOCUMENT_FORMAT_UNSPECIFIED - Default value.
+      JSON - output format will be a JSON string representation of processed document.
+  processedDocumentType: string, Required. What type of processing to return.
+    Allowed values
+      PROCESSED_DOCUMENT_TYPE_UNSPECIFIED - Default value.
+      PARSED_DOCUMENT - Available for all data store parsing configs.
+      CHUNKED_DOCUMENT - Only available if ChunkingConfig is enabeld on the data store.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Document captures all raw metadata information of items to be recommended or searched.
+  "document": "A String", # Required. Full resource name of the referenced document, in the format `projects/*/locations/*/collections/*/dataStores/*/branches/*/documents/*`.
+  "jsonData": "A String", # The JSON string representation of the processed document.
+}
+
+
import_(parent, body=None, x__xgafv=None) 
Bulk import of multiple Documents. Request processing may be synchronous. Non-existing items will be created. Note: It is possible for a subset of the Documents to be successfully updated.
@@ -292,7 +329,7 @@ 
Method Details

     "documents": [ # Required. A list of documents to update/create. Each document must have a valid Document.id. Recommended max of 100 items.
       { # Document captures all raw metadata information of items to be recommended or searched.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
@@ -375,7 +412,7 @@ 
Method Details

   "documents": [ # The Documents.
     { # Document captures all raw metadata information of items to be recommended or searched.
       "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-        "readers": [
+        "readers": [ # Readers of the document.
           { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
             "principals": [ # List of principals.
               { # Principal identifier of a user or a group.
@@ -434,7 +471,7 @@ 
Method Details

 
 { # Document captures all raw metadata information of items to be recommended or searched.
   "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-    "readers": [
+    "readers": [ # Readers of the document.
       { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
         "principals": [ # List of principals.
           { # Principal identifier of a user or a group.
@@ -476,7 +513,7 @@ 
Method Details

 
     { # Document captures all raw metadata information of items to be recommended or searched.
   "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-    "readers": [
+    "readers": [ # Readers of the document.
       { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
         "principals": [ # List of principals.
           { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.conversations.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.conversations.html
index 4afe21c1f3..8db311a98d 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.conversations.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.conversations.html
@@ -117,8 +117,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents in search results which may affect the converse response. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -213,9 +213,10 @@ 
Method Details

       "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
     },
     "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
     },
-    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+    "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
   },
   "userLabels": { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
     "a_key": "A String",
@@ -367,7 +368,7 @@ 
Method Details

       },
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.html
index d69fb7991c..6434a02d56 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.html
@@ -169,7 +169,7 @@ 
Method Details

   dataStore: string, Required. The parent data store resource name for which the completion is performed, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. (required)
   includeTailSuggestions: boolean, Indicates if tail suggestions should be returned if there are no suggestions that match the full query. Even if set to true, if there are suggestions that match the full query, those are returned and no tail suggestions are returned.
   query: string, Required. The typeahead input used to fetch suggestions. Maximum length is 128 characters.
-  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *
+  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.
   userPseudoId: string, A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This field should NOT have a fixed value such as `unknown_visitor`. This should be the same identifier as UserEvent.user_pseudo_id and SearchRequest.user_pseudo_id. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an `INVALID_ARGUMENT` error is returned.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -227,13 +227,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -388,13 +381,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -478,13 +464,6 @@ 
Method Details

     },
   },
   "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-  "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-    "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-    "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-      "A String",
-    ],
-    "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-  },
   "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
     "a_key": { # Related configurations applied to a specific type of document parser.
       "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -566,13 +545,6 @@ 
Method Details

           },
         },
         "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-        "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-          "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-          "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-            "A String",
-          ],
-          "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-        },
         "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
           "a_key": { # Related configurations applied to a specific type of document parser.
             "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -674,13 +646,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -764,13 +729,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -834,10 +792,10 @@ 
Method Details

     "gcsPrefix": "A String", # Cloud Storage prefix for import errors. This must be an empty, existing Cloud Storage directory. Import errors are written to sharded files in this directory, one per line, as a JSON-encoded `google.rpc.Status` message.
   },
   "gcsTrainingInput": { # Cloud Storage training data input. # Cloud Storage training input.
-    "corpusDataPath": "A String", # The Cloud Storage corpus data which could be associated in train data. The data path format is gs:///. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id, title and text. Example: {"_id": "doc1", title: "relevant doc", "text": "relevant text"}
-    "queryDataPath": "A String", # The gcs query data which could be associated in train data. The data path format is gs:///. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id and text. Example: {"_id": "query1", "text": "example query"}
+    "corpusDataPath": "A String", # The Cloud Storage corpus data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id, title and text. Example: `{"_id": "doc1", title: "relevant doc", "text": "relevant text"}`
+    "queryDataPath": "A String", # The gcs query data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id and text. Example: {"_id": "query1", "text": "example query"}
     "testDataPath": "A String", # Cloud Storage test data. Same format as train_data_path. If not provided, a random 80/20 train/test split will be performed on train_data_path.
-    "trainDataPath": "A String", # Cloud Storage training data path whose format should be gs:///. The file should be in tsv format. Each line should have the doc_id and query_id and score (number). For search-tuning model, it should have the query-id corpus-id score as tsv file header. The score should be a number in [0, inf+). The larger the number is, the more relevant the pair is. Example: query-id\tcorpus-id\tscore query1\tdoc1\t1
+    "trainDataPath": "A String", # Cloud Storage training data path whose format should be `gs:///`. The file should be in tsv format. Each line should have the doc_id and query_id and score (number). For search-tuning model, it should have the query-id corpus-id score as tsv file header. The score should be a number in `[0, inf+)`. The larger the number is, the more relevant the pair is. Example: * `query-id\tcorpus-id\tscore` * `query1\tdoc1\t1`
   },
   "modelType": "A String", # Model to be trained. Supported values are: * **search-tuning**: Fine tuning the search system based on data provided.
 }
@@ -900,13 +858,6 @@ 
Method Details

     },
   },
   "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-  "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-    "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-    "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-      "A String",
-    ],
-    "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-  },
   "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
     "a_key": { # Related configurations applied to a specific type of document parser.
       "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -952,13 +903,6 @@ 
Method Details

     },
   },
   "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-  "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-    "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-    "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-      "A String",
-    ],
-    "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-  },
   "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
     "a_key": { # Related configurations applied to a specific type of document parser.
       "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html
index 32dec828ef..2b3d32fb51 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html
@@ -109,7 +109,7 @@ 
Method Details

   
Gets a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.
 
 Args:
-  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}` (required)
+  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}` (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -144,6 +144,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -160,9 +161,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -176,13 +178,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -206,7 +207,7 @@ 
Method Details

   
Lists all ServingConfigs linked to this dataStore.
 
 Args:
-  parent: string, Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}` (required)
+  parent: string, Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}` (required)
   pageSize: integer, Optional. Maximum number of results to return. If unspecified, defaults to 100. If a value greater than 100 is provided, at most 100 results are returned.
   pageToken: string, Optional. A page token, received from a previous `ListServingConfigs` call. Provide this to retrieve the subsequent page.
   x__xgafv: string, V1 error format.
@@ -246,6 +247,7 @@ 
Method Details

             "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
             "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
             "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+            "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
           },
           "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
           "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -262,9 +264,10 @@ 
Method Details

               "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
             },
             "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
             },
-            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+            "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
           },
         },
       },
@@ -278,13 +281,12 @@ 
Method Details

       ],
       "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
         "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-        "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
         "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
       },
       "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
       "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
         "A String",
       ],
@@ -324,7 +326,7 @@ 
Method Details

   
Updates a ServingConfig. Returns a NOT_FOUND error if the ServingConfig does not exist.
 
 Args:
-  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}` (required)
+  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -354,6 +356,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -370,9 +373,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -386,13 +390,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -445,6 +448,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -461,9 +465,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -477,13 +482,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -613,7 +617,7 @@ 
Method Details

     { # RecommendationResult represents a generic recommendation result with associated metadata.
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # Set if `returnDocument` is set to true in RecommendRequest.params.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
@@ -665,8 +669,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -678,6 +682,7 @@ 
Method Details

       "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
       "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
       "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+      "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
     },
     "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
     "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -694,14 +699,20 @@ 
Method Details

         "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
       },
       "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
       },
-      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+      "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
   "customFineTuningSpec": { # Defines custom fine tuning spec. # Custom fine tuning configs.
     "enableSearchAdaptor": True or False, # Whether or not to enable and include custom fine tuned search adaptor model.
   },
+  "dataStoreSpecs": [ # A list of data store specs to apply on a search call.
+    { # A struct to define data stores to filter on in a search call.
+      "dataStore": "A String", # Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.
+    },
+  ],
   "embeddingSpec": { # The specification that uses customized query embedding vector to do semantic document retrieval. # Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.
     "embeddingVectors": [ # The embedding vector used for retrieval. Limit to 1.
       { # Embedding vector.
@@ -846,7 +857,7 @@ 
Method Details

       },
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.conversations.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.conversations.html
index c89d88c3a3..9392db6591 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.conversations.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.conversations.html
@@ -117,8 +117,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents in search results which may affect the converse response. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -213,9 +213,10 @@ 
Method Details

       "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
     },
     "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
     },
-    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+    "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
   },
   "userLabels": { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
     "a_key": "A String",
@@ -367,7 +368,7 @@ 
Method Details

       },
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.html
index 091f392fb2..6910954d11 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.html
@@ -135,7 +135,6 @@ 
Method Details

     The object takes the form of:
 
 { # Metadata that describes the training and serving parameters of an Engine.
-  "allowMultipleDataStoresSearchEngine": True or False, # Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.
   "chatEngineConfig": { # Configurations for a Chat Engine. # Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT.
     "agentCreationConfig": { # Configurations for generating a Dialogflow agent. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation. # The configurationt generate the Dialogflow agent that is associated to this Engine. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation.
       "business": "A String", # Name of the company, organization or other entity that the agent represents. Used for knowledge connector LLM prompt and for knowledge search.
@@ -265,7 +264,6 @@ 
Method Details

   An object of the form:
 
     { # Metadata that describes the training and serving parameters of an Engine.
-  "allowMultipleDataStoresSearchEngine": True or False, # Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.
   "chatEngineConfig": { # Configurations for a Chat Engine. # Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT.
     "agentCreationConfig": { # Configurations for generating a Dialogflow agent. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation. # The configurationt generate the Dialogflow agent that is associated to this Engine. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation.
       "business": "A String", # Name of the company, organization or other entity that the agent represents. Used for knowledge connector LLM prompt and for knowledge search.
@@ -336,7 +334,6 @@ 
Method Details

     { # Response message for EngineService.ListEngines method.
   "engines": [ # All the customer's Engines.
     { # Metadata that describes the training and serving parameters of an Engine.
-      "allowMultipleDataStoresSearchEngine": True or False, # Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.
       "chatEngineConfig": { # Configurations for a Chat Engine. # Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT.
         "agentCreationConfig": { # Configurations for generating a Dialogflow agent. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation. # The configurationt generate the Dialogflow agent that is associated to this Engine. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation.
           "business": "A String", # Name of the company, organization or other entity that the agent represents. Used for knowledge connector LLM prompt and for knowledge search.
@@ -414,7 +411,6 @@ 
Method Details

     The object takes the form of:
 
 { # Metadata that describes the training and serving parameters of an Engine.
-  "allowMultipleDataStoresSearchEngine": True or False, # Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.
   "chatEngineConfig": { # Configurations for a Chat Engine. # Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT.
     "agentCreationConfig": { # Configurations for generating a Dialogflow agent. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation. # The configurationt generate the Dialogflow agent that is associated to this Engine. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation.
       "business": "A String", # Name of the company, organization or other entity that the agent represents. Used for knowledge connector LLM prompt and for knowledge search.
@@ -474,7 +470,6 @@ 
Method Details

   An object of the form:
 
     { # Metadata that describes the training and serving parameters of an Engine.
-  "allowMultipleDataStoresSearchEngine": True or False, # Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.
   "chatEngineConfig": { # Configurations for a Chat Engine. # Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT.
     "agentCreationConfig": { # Configurations for generating a Dialogflow agent. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation. # The configurationt generate the Dialogflow agent that is associated to this Engine. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation.
       "business": "A String", # Name of the company, organization or other entity that the agent represents. Used for knowledge connector LLM prompt and for knowledge search.
@@ -546,7 +541,6 @@ 
Method Details

   An object of the form:
 
     { # Metadata that describes the training and serving parameters of an Engine.
-  "allowMultipleDataStoresSearchEngine": True or False, # Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.
   "chatEngineConfig": { # Configurations for a Chat Engine. # Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT.
     "agentCreationConfig": { # Configurations for generating a Dialogflow agent. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation. # The configurationt generate the Dialogflow agent that is associated to this Engine. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation.
       "business": "A String", # Name of the company, organization or other entity that the agent represents. Used for knowledge connector LLM prompt and for knowledge search.
@@ -618,7 +612,6 @@ 
Method Details

   An object of the form:
 
     { # Metadata that describes the training and serving parameters of an Engine.
-  "allowMultipleDataStoresSearchEngine": True or False, # Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.
   "chatEngineConfig": { # Configurations for a Chat Engine. # Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT.
     "agentCreationConfig": { # Configurations for generating a Dialogflow agent. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation. # The configurationt generate the Dialogflow agent that is associated to this Engine. Note that these configurations are one-time consumed by and passed to Dialogflow service. It means they cannot be retrieved using EngineService.GetEngine or EngineService.ListEngines API after engine creation.
       "business": "A String", # Name of the company, organization or other entity that the agent represents. Used for knowledge connector LLM prompt and for knowledge search.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html
index cbdc36e46d..371a3e02f4 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html
@@ -109,7 +109,7 @@ 
Method Details

   
Gets a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.
 
 Args:
-  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}` (required)
+  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}` (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -144,6 +144,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -160,9 +161,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -176,13 +178,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -206,7 +207,7 @@ 
Method Details

   
Lists all ServingConfigs linked to this dataStore.
 
 Args:
-  parent: string, Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}` (required)
+  parent: string, Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}` (required)
   pageSize: integer, Optional. Maximum number of results to return. If unspecified, defaults to 100. If a value greater than 100 is provided, at most 100 results are returned.
   pageToken: string, Optional. A page token, received from a previous `ListServingConfigs` call. Provide this to retrieve the subsequent page.
   x__xgafv: string, V1 error format.
@@ -246,6 +247,7 @@ 
Method Details

             "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
             "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
             "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+            "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
           },
           "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
           "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -262,9 +264,10 @@ 
Method Details

               "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
             },
             "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
             },
-            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+            "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
           },
         },
       },
@@ -278,13 +281,12 @@ 
Method Details

       ],
       "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
         "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-        "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
         "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
       },
       "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
       "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
         "A String",
       ],
@@ -324,7 +326,7 @@ 
Method Details

   
Updates a ServingConfig. Returns a NOT_FOUND error if the ServingConfig does not exist.
 
 Args:
-  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}` (required)
+  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -354,6 +356,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -370,9 +373,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -386,13 +390,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -445,6 +448,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -461,9 +465,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -477,13 +482,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -613,7 +617,7 @@ 
Method Details

     { # RecommendationResult represents a generic recommendation result with associated metadata.
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # Set if `returnDocument` is set to true in RecommendRequest.params.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
@@ -665,8 +669,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -678,6 +682,7 @@ 
Method Details

       "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
       "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
       "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+      "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
     },
     "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
     "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -694,14 +699,20 @@ 
Method Details

         "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
       },
       "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
       },
-      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+      "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
   "customFineTuningSpec": { # Defines custom fine tuning spec. # Custom fine tuning configs.
     "enableSearchAdaptor": True or False, # Whether or not to enable and include custom fine tuned search adaptor model.
   },
+  "dataStoreSpecs": [ # A list of data store specs to apply on a search call.
+    { # A struct to define data stores to filter on in a search call.
+      "dataStore": "A String", # Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.
+    },
+  ],
   "embeddingSpec": { # The specification that uses customized query embedding vector to do semantic document retrieval. # Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.
     "embeddingVectors": [ # The embedding vector used for retrieval. Limit to 1.
       { # Embedding vector.
@@ -846,7 +857,7 @@ 
Method Details

       },
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.branches.documents.chunks.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.branches.documents.chunks.html
new file mode 100644
index 0000000000..61dc5da73b
--- /dev/null
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.branches.documents.chunks.html
@@ -0,0 +1,172 @@
+
+
+
+
Discovery Engine API . projects . locations . dataStores . branches . documents . chunks

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets a Document.

+

+  list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+
Gets a list of Chunks.

+

+  list_next()

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets a Document.
+
+Args:
+  name: string, Required. Full resource name of Chunk, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}/chunks/{chunk}`. If the caller does not have permission to access the Chunk, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Chunk does not exist, a `NOT_FOUND` error is returned. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Chunk captures all raw metadata information of items to be recommended or searched in the chunk mode.
+  "content": "A String", # Content is a string from a document (parsed content).
+  "derivedStructData": { # Output only. This field is OUTPUT_ONLY. It contains derived data that are not in the original input document.
+    "a_key": "", # Properties of the object.
+  },
+  "documentMetadata": { # Document metadata contains the information of the document of the current chunk. # Metadata of the document from the current chunk.
+    "title": "A String", # Title of the document.
+    "uri": "A String", # Uri of the document.
+  },
+  "id": "A String", # Unique chunk id of the current chunk.
+  "name": "A String", # The full resource name of the chunk. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document_id}/chunks/{chunk_id}`. This field must be a UTF-8 encoded string with a length limit of 1024 characters.
+}

+

+
+

+    list(parent, pageSize=None, pageToken=None, x__xgafv=None)
+  
Gets a list of Chunks.
+
+Args:
+  parent: string, Required. The parent document resource name, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to list Chunks under this document, regardless of whether or not this document exists, a `PERMISSION_DENIED` error is returned. (required)
+  pageSize: integer, Maximum number of Chunks to return. If unspecified, defaults to 100. The maximum allowed value is 1000. Values above 1000 will be coerced to 1000. If this field is negative, an `INVALID_ARGUMENT` error is returned.
+  pageToken: string, A page token ListChunksResponse.next_page_token, received from a previous ChunkService.ListChunks call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to ChunkService.ListChunks must match the call that provided the page token. Otherwise, an `INVALID_ARGUMENT` error is returned.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for ChunkService.ListChunks method.
+  "chunks": [ # The Chunks.
+    { # Chunk captures all raw metadata information of items to be recommended or searched in the chunk mode.
+      "content": "A String", # Content is a string from a document (parsed content).
+      "derivedStructData": { # Output only. This field is OUTPUT_ONLY. It contains derived data that are not in the original input document.
+        "a_key": "", # Properties of the object.
+      },
+      "documentMetadata": { # Document metadata contains the information of the document of the current chunk. # Metadata of the document from the current chunk.
+        "title": "A String", # Title of the document.
+        "uri": "A String", # Uri of the document.
+      },
+      "id": "A String", # Unique chunk id of the current chunk.
+      "name": "A String", # The full resource name of the chunk. Format: `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document_id}/chunks/{chunk_id}`. This field must be a UTF-8 encoded string with a length limit of 1024 characters.
+    },
+  ],
+  "nextPageToken": "A String", # A token that can be sent as ListChunksRequest.page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.
+}

+

+
+

+    list_next()
+  
Retrieves the next page of results.
+
+        Args:
+          previous_request: The request for the previous page. (required)
+          previous_response: The response from the request for the previous page. (required)
+
+        Returns:
+          A request object that you can call 'execute()' on to request the next
+          page. Returns None if there are no more items in the collection.
+        

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.branches.documents.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.branches.documents.html
index 8d44971f85..717f4cd275 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.branches.documents.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.branches.documents.html
@@ -74,6 +74,11 @@
 
 
Discovery Engine API . projects . locations . dataStores . branches . documents

 
Instance Methods

+

+  chunks()
+

+
Returns the chunks Resource.

+
 

   close()

 
Close httplib2 connections.

@@ -86,6 +91,9 @@ 
Instance Methods

 

   get(name, x__xgafv=None)

 
Gets a Document.

+

+  getProcessedDocument(name, processedDocumentFormat=None, processedDocumentType=None, x__xgafv=None)

+
Gets the parsed layout information for a Document.

 

   import_(parent, body=None, x__xgafv=None)

 
Bulk import of multiple Documents. Request processing may be synchronous. Non-existing items will be created. Note: It is possible for a subset of the Documents to be successfully updated.

@@ -118,7 +126,7 @@ 
Method Details

 
 { # Document captures all raw metadata information of items to be recommended or searched.
   "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-    "readers": [
+    "readers": [ # Readers of the document.
       { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
         "principals": [ # List of principals.
           { # Principal identifier of a user or a group.
@@ -159,7 +167,7 @@ 
Method Details

 
     { # Document captures all raw metadata information of items to be recommended or searched.
   "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-    "readers": [
+    "readers": [ # Readers of the document.
       { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
         "principals": [ # List of principals.
           { # Principal identifier of a user or a group.
@@ -224,7 +232,7 @@ 
Method Details

 
     { # Document captures all raw metadata information of items to be recommended or searched.
   "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-    "readers": [
+    "readers": [ # Readers of the document.
       { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
         "principals": [ # List of principals.
           { # Principal identifier of a user or a group.
@@ -255,6 +263,35 @@ 
Method Details

 }
+
+ getProcessedDocument(name, processedDocumentFormat=None, processedDocumentType=None, x__xgafv=None) + 
Gets the parsed layout information for a Document.
+
+Args:
+  name: string, Required. Full resource name of Document, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to access the Document, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Document does not exist, a `NOT_FOUND` error is returned. (required)
+  processedDocumentFormat: string, What format output should be. If unspecified, defaults to JSON.
+    Allowed values
+      PROCESSED_DOCUMENT_FORMAT_UNSPECIFIED - Default value.
+      JSON - output format will be a JSON string representation of processed document.
+  processedDocumentType: string, Required. What type of processing to return.
+    Allowed values
+      PROCESSED_DOCUMENT_TYPE_UNSPECIFIED - Default value.
+      PARSED_DOCUMENT - Available for all data store parsing configs.
+      CHUNKED_DOCUMENT - Only available if ChunkingConfig is enabeld on the data store.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Document captures all raw metadata information of items to be recommended or searched.
+  "document": "A String", # Required. Full resource name of the referenced document, in the format `projects/*/locations/*/collections/*/dataStores/*/branches/*/documents/*`.
+  "jsonData": "A String", # The JSON string representation of the processed document.
+}
+
+
import_(parent, body=None, x__xgafv=None) 
Bulk import of multiple Documents. Request processing may be synchronous. Non-existing items will be created. Note: It is possible for a subset of the Documents to be successfully updated.
@@ -292,7 +329,7 @@ 
Method Details

     "documents": [ # Required. A list of documents to update/create. Each document must have a valid Document.id. Recommended max of 100 items.
       { # Document captures all raw metadata information of items to be recommended or searched.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
@@ -375,7 +412,7 @@ 
Method Details

   "documents": [ # The Documents.
     { # Document captures all raw metadata information of items to be recommended or searched.
       "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-        "readers": [
+        "readers": [ # Readers of the document.
           { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
             "principals": [ # List of principals.
               { # Principal identifier of a user or a group.
@@ -434,7 +471,7 @@ 
Method Details

 
 { # Document captures all raw metadata information of items to be recommended or searched.
   "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-    "readers": [
+    "readers": [ # Readers of the document.
       { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
         "principals": [ # List of principals.
           { # Principal identifier of a user or a group.
@@ -476,7 +513,7 @@ 
Method Details

 
     { # Document captures all raw metadata information of items to be recommended or searched.
   "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-    "readers": [
+    "readers": [ # Readers of the document.
       { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
         "principals": [ # List of principals.
           { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.conversations.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.conversations.html
index d8503e5bde..11729ca976 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.conversations.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.conversations.html
@@ -117,8 +117,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents in search results which may affect the converse response. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -213,9 +213,10 @@ 
Method Details

       "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
     },
     "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
     },
-    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+    "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
   },
   "userLabels": { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
     "a_key": "A String",
@@ -367,7 +368,7 @@ 
Method Details

       },
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.html
index 92a751b4fd..7bec1fc261 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.html
@@ -166,7 +166,7 @@ 
Method Details

   dataStore: string, Required. The parent data store resource name for which the completion is performed, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. (required)
   includeTailSuggestions: boolean, Indicates if tail suggestions should be returned if there are no suggestions that match the full query. Even if set to true, if there are suggestions that match the full query, those are returned and no tail suggestions are returned.
   query: string, Required. The typeahead input used to fetch suggestions. Maximum length is 128 characters.
-  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *
+  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.
   userPseudoId: string, A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This field should NOT have a fixed value such as `unknown_visitor`. This should be the same identifier as UserEvent.user_pseudo_id and SearchRequest.user_pseudo_id. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an `INVALID_ARGUMENT` error is returned.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -224,13 +224,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -385,13 +378,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -475,13 +461,6 @@ 
Method Details

     },
   },
   "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-  "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-    "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-    "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-      "A String",
-    ],
-    "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-  },
   "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
     "a_key": { # Related configurations applied to a specific type of document parser.
       "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -563,13 +542,6 @@ 
Method Details

           },
         },
         "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-        "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-          "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-          "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-            "A String",
-          ],
-          "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-        },
         "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
           "a_key": { # Related configurations applied to a specific type of document parser.
             "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -671,13 +643,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -761,13 +726,6 @@ 
Method Details

       },
     },
     "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-    "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-      "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-      "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-        "A String",
-      ],
-      "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-    },
     "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
       "a_key": { # Related configurations applied to a specific type of document parser.
         "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -846,13 +804,6 @@ 
Method Details

     },
   },
   "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-  "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-    "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-    "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-      "A String",
-    ],
-    "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-  },
   "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
     "a_key": { # Related configurations applied to a specific type of document parser.
       "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
@@ -898,13 +849,6 @@ 
Method Details

     },
   },
   "name": "A String", # The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.
-  "ocrConfig": { # The OCR options for parsing documents. # [DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs.
-    "enabled": True or False, # Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.
-    "enhancedDocumentElements": [ # Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.
-      "A String",
-    ],
-    "useNativeText": True or False, # If true, will use native text instead of OCR text on pages containing native text.
-  },
   "parsingConfigOverrides": { # Map from file type to override the default parsing configuration based on the file type. Supported keys: * `pdf`: Override parsing config for PDF files, either digital parsing, ocr parsing or layout parsing is supported. * `html`: Override parsing config for HTML files, only digital parsing and or layout parsing are supported. * `docx`: Override parsing config for DOCX files, only digital parsing and or layout parsing are supported.
     "a_key": { # Related configurations applied to a specific type of document parser.
       "digitalParsingConfig": { # The digital parsing configurations for documents. # Configurations applied to digital parser.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html
index 93d437e4c8..ff5b3931a5 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html
@@ -109,7 +109,7 @@ 
Method Details

   
Gets a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.
 
 Args:
-  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}` (required)
+  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}` (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -144,6 +144,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -160,9 +161,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -176,13 +178,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -206,7 +207,7 @@ 
Method Details

   
Lists all ServingConfigs linked to this dataStore.
 
 Args:
-  parent: string, Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}` (required)
+  parent: string, Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}` (required)
   pageSize: integer, Optional. Maximum number of results to return. If unspecified, defaults to 100. If a value greater than 100 is provided, at most 100 results are returned.
   pageToken: string, Optional. A page token, received from a previous `ListServingConfigs` call. Provide this to retrieve the subsequent page.
   x__xgafv: string, V1 error format.
@@ -246,6 +247,7 @@ 
Method Details

             "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
             "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
             "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+            "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
           },
           "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
           "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -262,9 +264,10 @@ 
Method Details

               "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
             },
             "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
             },
-            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+            "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
           },
         },
       },
@@ -278,13 +281,12 @@ 
Method Details

       ],
       "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
         "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-        "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
         "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
       },
       "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
       "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
         "A String",
       ],
@@ -324,7 +326,7 @@ 
Method Details

   
Updates a ServingConfig. Returns a NOT_FOUND error if the ServingConfig does not exist.
 
 Args:
-  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}` (required)
+  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -354,6 +356,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -370,9 +373,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -386,13 +390,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -445,6 +448,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -461,9 +465,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -477,13 +482,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -613,7 +617,7 @@ 
Method Details

     { # RecommendationResult represents a generic recommendation result with associated metadata.
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # Set if `returnDocument` is set to true in RecommendRequest.params.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
@@ -665,8 +669,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -678,6 +682,7 @@ 
Method Details

       "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
       "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
       "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+      "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
     },
     "searchResultMode": "A String", # Specifies the search result mode. If unspecified, the search result mode is based on DataStore.DocumentProcessingConfig.chunking_config: * If DataStore.DocumentProcessingConfig.chunking_config is specified, it defaults to `CHUNKS`. * Otherwise, it defaults to `DOCUMENTS`.
     "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
@@ -694,14 +699,20 @@ 
Method Details

         "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
       },
       "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
       },
-      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+      "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
   "customFineTuningSpec": { # Defines custom fine tuning spec. # Custom fine tuning configs.
     "enableSearchAdaptor": True or False, # Whether or not to enable and include custom fine tuned search adaptor model.
   },
+  "dataStoreSpecs": [ # A list of data store specs to apply on a search call.
+    { # A struct to define data stores to filter on in a search call.
+      "dataStore": "A String", # Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.
+    },
+  ],
   "embeddingSpec": { # The specification that uses customized query embedding vector to do semantic document retrieval. # Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.
     "embeddingVectors": [ # The embedding vector used for retrieval. Limit to 1.
       { # Embedding vector.
@@ -846,7 +857,7 @@ 
Method Details

       },
       "document": { # Document captures all raw metadata information of items to be recommended or searched. # The document data snippet in the search response. Only fields that are marked as retrievable are populated.
         "aclInfo": { # ACL Information of the Document. # Access control information for the document.
-          "readers": [
+          "readers": [ # Readers of the document.
             { # AclRestriction to model complex inheritance restrictions. Example: Modeling a "Both Permit" inheritance, where to access a child document, user needs to have access to parent document. Document Hierarchy - Space_S --> Page_P. Readers: Space_S: group_1, user_1 Page_P: group_2, group_3, user_2 Space_S ACL Restriction - { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ] } ] } } Page_P ACL Restriction. { "acl_info": { "readers": [ { "principals": [ { "group_id": "group_2" }, { "group_id": "group_3" }, { "user_id": "user_2" } ], }, { "principals": [ { "group_id": "group_1" }, { "user_id": "user_1" } ], } ] } }
               "principals": [ # List of principals.
                 { # Principal identifier of a user or a group.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.conversations.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.conversations.html
index 725c69e6cd..cd06e40f57 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.conversations.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.conversations.html
@@ -117,8 +117,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents in search results which may affect the converse response. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -212,9 +212,10 @@ 
Method Details

       "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
     },
     "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
     },
-    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+    "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
   },
   "userLabels": { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
     "a_key": "A String",
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.html
index 381f112514..f277e4ac89 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.html
@@ -146,6 +146,9 @@ 
Instance Methods

 

   patch(name, body=None, updateMask=None, x__xgafv=None)

 
Updates a DataStore

+

+  trainCustomModel(dataStore, body=None, x__xgafv=None)

+
Trains a custom model.

 
Method Details

 

     close()
@@ -160,7 +163,7 @@ 
Method Details

   dataStore: string, Required. The parent data store resource name for which the completion is performed, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. (required)
   includeTailSuggestions: boolean, Indicates if tail suggestions should be returned if there are no suggestions that match the full query. Even if set to true, if there are suggestions that match the full query, those are returned and no tail suggestions are returned.
   query: string, Required. The typeahead input used to fetch suggestions. Maximum length is 128 characters.
-  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *
+  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.
   userPseudoId: string, A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This field should NOT have a fixed value such as `unknown_visitor`. This should be the same identifier as UserEvent.user_pseudo_id and SearchRequest.user_pseudo_id. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an `INVALID_ARGUMENT` error is returned.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -568,4 +571,55 @@ 
Method Details

 }
+
+ trainCustomModel(dataStore, body=None, x__xgafv=None) + 
Trains a custom model.
+
+Args:
+  dataStore: string, Required. The resource name of the Data Store, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. This field is used to identify the data store where to train the models. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for SearchTuningService.TrainCustomModel method.
+  "errorConfig": { # Configuration of destination for Import related errors. # The desired location of errors incurred during the data ingestion and training.
+    "gcsPrefix": "A String", # Cloud Storage prefix for import errors. This must be an empty, existing Cloud Storage directory. Import errors are written to sharded files in this directory, one per line, as a JSON-encoded `google.rpc.Status` message.
+  },
+  "gcsTrainingInput": { # Cloud Storage training data input. # Cloud Storage training input.
+    "corpusDataPath": "A String", # The Cloud Storage corpus data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id, title and text. Example: `{"_id": "doc1", title: "relevant doc", "text": "relevant text"}`
+    "queryDataPath": "A String", # The gcs query data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id and text. Example: {"_id": "query1", "text": "example query"}
+    "testDataPath": "A String", # Cloud Storage test data. Same format as train_data_path. If not provided, a random 80/20 train/test split will be performed on train_data_path.
+    "trainDataPath": "A String", # Cloud Storage training data path whose format should be `gs:///`. The file should be in tsv format. Each line should have the doc_id and query_id and score (number). For search-tuning model, it should have the query-id corpus-id score as tsv file header. The score should be a number in `[0, inf+)`. The larger the number is, the more relevant the pair is. Example: * `query-id\tcorpus-id\tscore` * `query1\tdoc1\t1`
+  },
+  "modelType": "A String", # Model to be trained. Supported values are: * **search-tuning**: Fine tuning the search system based on data provided.
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ \ No newline at end of file diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html index 77c1b84d8b..92bd82c783 100644 --- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html +++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html @@ -109,7 +109,7 @@

Method Details

Gets a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.
 
 Args:
-  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}` (required)
+  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}` (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -141,6 +141,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -156,9 +157,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -167,13 +169,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -197,7 +198,7 @@ 
Method Details

   
Lists all ServingConfigs linked to this dataStore.
 
 Args:
-  parent: string, Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}` (required)
+  parent: string, Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}` (required)
   pageSize: integer, Optional. Maximum number of results to return. If unspecified, defaults to 100. If a value greater than 100 is provided, at most 100 results are returned.
   pageToken: string, Optional. A page token, received from a previous `ListServingConfigs` call. Provide this to retrieve the subsequent page.
   x__xgafv: string, V1 error format.
@@ -234,6 +235,7 @@ 
Method Details

             "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
             "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
             "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+            "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
           },
           "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
             "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -249,9 +251,10 @@ 
Method Details

               "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
             },
             "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
             },
-            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+            "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
           },
         },
       },
@@ -260,13 +263,12 @@ 
Method Details

       ],
       "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
         "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-        "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
         "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
       },
       "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
       "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
         "A String",
       ],
@@ -306,7 +308,7 @@ 
Method Details

   
Updates a ServingConfig. Returns a NOT_FOUND error if the ServingConfig does not exist.
 
 Args:
-  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}` (required)
+  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -333,6 +335,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -348,9 +351,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -359,13 +363,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -415,6 +418,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -430,9 +434,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -441,13 +446,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -617,8 +621,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -630,6 +634,7 @@ 
Method Details

       "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
       "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
       "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+      "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
     },
     "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
       "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -645,11 +650,17 @@ 
Method Details

         "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
       },
       "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
       },
-      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+      "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
+  "dataStoreSpecs": [ # A list of data store specs to apply on a search call.
+    { # A struct to define data stores to filter on in a search call.
+      "dataStore": "A String", # Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.
+    },
+  ],
   "embeddingSpec": { # The specification that uses customized query embedding vector to do semantic document retrieval. # Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.
     "embeddingVectors": [ # The embedding vector used for retrieval. Limit to 1.
       { # Embedding vector.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.conversations.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.conversations.html
index 09a58222de..afe938d710 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.conversations.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.conversations.html
@@ -117,8 +117,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents in search results which may affect the converse response. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -212,9 +212,10 @@ 
Method Details

       "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
     },
     "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
     },
-    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+    "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
   },
   "userLabels": { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
     "a_key": "A String",
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html
index d0b86a0792..86d27edaf8 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html
@@ -109,7 +109,7 @@ 
Method Details

   
Gets a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.
 
 Args:
-  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}` (required)
+  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}` (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -141,6 +141,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -156,9 +157,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -167,13 +169,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -197,7 +198,7 @@ 
Method Details

   
Lists all ServingConfigs linked to this dataStore.
 
 Args:
-  parent: string, Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}` (required)
+  parent: string, Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}` (required)
   pageSize: integer, Optional. Maximum number of results to return. If unspecified, defaults to 100. If a value greater than 100 is provided, at most 100 results are returned.
   pageToken: string, Optional. A page token, received from a previous `ListServingConfigs` call. Provide this to retrieve the subsequent page.
   x__xgafv: string, V1 error format.
@@ -234,6 +235,7 @@ 
Method Details

             "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
             "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
             "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+            "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
           },
           "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
             "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -249,9 +251,10 @@ 
Method Details

               "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
             },
             "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
             },
-            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+            "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
           },
         },
       },
@@ -260,13 +263,12 @@ 
Method Details

       ],
       "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
         "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-        "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
         "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
       },
       "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
       "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
         "A String",
       ],
@@ -306,7 +308,7 @@ 
Method Details

   
Updates a ServingConfig. Returns a NOT_FOUND error if the ServingConfig does not exist.
 
 Args:
-  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}` (required)
+  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -333,6 +335,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -348,9 +351,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -359,13 +363,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -415,6 +418,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -430,9 +434,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -441,13 +446,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -617,8 +621,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -630,6 +634,7 @@ 
Method Details

       "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
       "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
       "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+      "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
     },
     "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
       "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -645,11 +650,17 @@ 
Method Details

         "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
       },
       "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
       },
-      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+      "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
+  "dataStoreSpecs": [ # A list of data store specs to apply on a search call.
+    { # A struct to define data stores to filter on in a search call.
+      "dataStore": "A String", # Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.
+    },
+  ],
   "embeddingSpec": { # The specification that uses customized query embedding vector to do semantic document retrieval. # Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.
     "embeddingVectors": [ # The embedding vector used for retrieval. Limit to 1.
       { # Embedding vector.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.conversations.html b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.conversations.html
index de09cda5e5..3bb4ea3b64 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.conversations.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.conversations.html
@@ -117,8 +117,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents in search results which may affect the converse response. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -212,9 +212,10 @@ 
Method Details

       "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
     },
     "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+      "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
     },
-    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+    "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+    "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
   },
   "userLabels": { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
     "a_key": "A String",
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.html b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.html
index 22aed96b52..053dddaff4 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.html
@@ -160,7 +160,7 @@ 
Method Details

   dataStore: string, Required. The parent data store resource name for which the completion is performed, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. (required)
   includeTailSuggestions: boolean, Indicates if tail suggestions should be returned if there are no suggestions that match the full query. Even if set to true, if there are suggestions that match the full query, those are returned and no tail suggestions are returned.
   query: string, Required. The typeahead input used to fetch suggestions. Maximum length is 128 characters.
-  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *
+  queryModel: string, Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.
   userPseudoId: string, A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This field should NOT have a fixed value such as `unknown_visitor`. This should be the same identifier as UserEvent.user_pseudo_id and SearchRequest.user_pseudo_id. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an `INVALID_ARGUMENT` error is returned.
   x__xgafv: string, V1 error format.
     Allowed values
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html
index 6ebb46021f..ab0ede5db9 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html
@@ -109,7 +109,7 @@ 
Method Details

   
Gets a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.
 
 Args:
-  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}` (required)
+  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}` (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -141,6 +141,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -156,9 +157,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -167,13 +169,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -197,7 +198,7 @@ 
Method Details

   
Lists all ServingConfigs linked to this dataStore.
 
 Args:
-  parent: string, Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}` (required)
+  parent: string, Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}` (required)
   pageSize: integer, Optional. Maximum number of results to return. If unspecified, defaults to 100. If a value greater than 100 is provided, at most 100 results are returned.
   pageToken: string, Optional. A page token, received from a previous `ListServingConfigs` call. Provide this to retrieve the subsequent page.
   x__xgafv: string, V1 error format.
@@ -234,6 +235,7 @@ 
Method Details

             "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
             "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
             "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+            "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
           },
           "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
             "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -249,9 +251,10 @@ 
Method Details

               "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
             },
             "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+              "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
             },
-            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+            "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+            "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
           },
         },
       },
@@ -260,13 +263,12 @@ 
Method Details

       ],
       "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
         "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-        "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
         "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
         "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
       },
       "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+      "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
       "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
         "A String",
       ],
@@ -306,7 +308,7 @@ 
Method Details

   
Updates a ServingConfig. Returns a NOT_FOUND error if the ServingConfig does not exist.
 
 Args:
-  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}` (required)
+  name: string, Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -333,6 +335,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -348,9 +351,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -359,13 +363,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -415,6 +418,7 @@ 
Method Details

         "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
         "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+        "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
       },
       "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -430,9 +434,10 @@ 
Method Details

           "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
         },
         "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+          "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
         },
-        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+        "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+        "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
       },
     },
   },
@@ -441,13 +446,12 @@ 
Method Details

   ],
   "mediaConfig": { # Specifies the configurations needed for Media Discovery. Currently we support: * `demote_content_watched`: Threshold for watched content demotion. Customers can specify if using watched content demotion or use viewed detail page. Using the content watched demotion, customers need to specify the watched minutes or percentage exceeds the threshold, the content will be demoted in the recommendation result. * `promote_fresh_content`: cutoff days for fresh content promotion. Customers can specify if using content freshness promotion. If the content was published within the cutoff days, the content will be promoted in the recommendation result. Can only be set if SolutionType is SOLUTION_TYPE_RECOMMENDATION. # The MediaConfig of the serving configuration.
     "contentFreshnessCutoffDays": 42, # Specifies the content freshness used for recommendation result. Contents will be demoted if contents were published for more than content freshness cutoff days.
-    "contentWatchedMinutesThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "contentWatchedPercentageThreshold": 3.14, # Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.
     "contentWatchedSecondsThreshold": 3.14, # Specifies the content watched minutes threshold for demotion.
     "demotionEventType": "A String", # Specifies the event type used for demoting recommendation result. Currently supported values: * `view-item`: Item viewed. * `media-play`: Start/resume watching a video, playing a song, etc. * `media-complete`: Finished or stopped midway through a video, song, etc. If unset, watch history demotion will not be applied. Content freshness demotion will still be applied.
   },
   "modelId": "A String", # The id of the model to use at serving time. Currently only RecommendationModels are supported. Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when SolutionType is SOLUTION_TYPE_RECOMMENDATION.
-  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`
+  "name": "A String", # Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`
   "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Maximum number of specifications is 100. Can only be set if SolutionType is SOLUTION_TYPE_SEARCH.
     "A String",
   ],
@@ -617,8 +621,8 @@ 
Method Details

   "boostSpec": { # Boost specification to boost certain documents. # Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/retail/docs/boosting#boost)
     "conditionBoostSpecs": [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
       { # Boost applies to documents which match a condition.
-        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
-        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": * (document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))
+        "boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.
+        "condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID "doc_1" or "doc_2", and color "Red" or "Blue": `(document_id: ANY("doc_1", "doc_2")) AND (color: ANY("Red", "Blue"))`
       },
     ],
   },
@@ -630,6 +634,7 @@ 
Method Details

       "maxExtractiveSegmentCount": 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
       "numNextSegments": 42, # Return at most `num_next_segments` segments after each selected segments.
       "numPreviousSegments": 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
+      "returnExtractiveSegmentScore": True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.
     },
     "snippetSpec": { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
       "maxSnippetCount": 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count > 0.
@@ -645,11 +650,17 @@ 
Method Details

         "preamble": "A String", # Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.
       },
       "modelSpec": { # Specification of the model. # If specified, the spec will be used to modify the model specification provided to the LLM.
-        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.
+        "version": "A String", # The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).
       },
-      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
+      "summaryResultCount": 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.
+      "useSemanticChunks": True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
+  "dataStoreSpecs": [ # A list of data store specs to apply on a search call.
+    { # A struct to define data stores to filter on in a search call.
+      "dataStore": "A String", # Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.
+    },
+  ],
   "embeddingSpec": { # The specification that uses customized query embedding vector to do semantic document retrieval. # Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path.
     "embeddingVectors": [ # The embedding vector used for retrieval. Limit to 1.
       { # Embedding vector.
diff --git a/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json b/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json
index 91ca139d0f..28add5e02d 100644
--- a/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json
+++ b/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json
@@ -413,7 +413,7 @@
 "type": "string"
 },
 "queryModel": {
-"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *",
+"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.",
 "location": "query",
 "type": "string"
 },
@@ -795,6 +795,59 @@
 "https://www.googleapis.com/auth/cloud-platform"
 ]
 },
+"getProcessedDocument": {
+"description": "Gets the parsed layout information for a Document.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/collections/{collectionsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents/{documentsId}:getProcessedDocument",
+"httpMethod": "GET",
+"id": "discoveryengine.projects.locations.collections.dataStores.branches.documents.getProcessedDocument",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Full resource name of Document, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to access the Document, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Document does not exist, a `NOT_FOUND` error is returned.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+/branches/[^/]+/documents/[^/]+$",
+"required": true,
+"type": "string"
+},
+"processedDocumentFormat": {
+"description": "What format output should be. If unspecified, defaults to JSON.",
+"enum": [
+"PROCESSED_DOCUMENT_FORMAT_UNSPECIFIED",
+"JSON"
+],
+"enumDescriptions": [
+"Default value.",
+"output format will be a JSON string representation of processed document."
+],
+"location": "query",
+"type": "string"
+},
+"processedDocumentType": {
+"description": "Required. What type of processing to return.",
+"enum": [
+"PROCESSED_DOCUMENT_TYPE_UNSPECIFIED",
+"PARSED_DOCUMENT",
+"CHUNKED_DOCUMENT"
+],
+"enumDescriptions": [
+"Default value.",
+"Available for all data store parsing configs.",
+"Only available if ChunkingConfig is enabeld on the data store."
+],
+"location": "query",
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}:getProcessedDocument",
+"response": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaProcessedDocument"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
 "import": {
 "description": "Bulk import of multiple Documents. Request processing may be synchronous. Non-existing items will be created. Note: It is possible for a subset of the Documents to be successfully updated.",
 "flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/collections/{collectionsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents:import",
@@ -926,6 +979,73 @@
 "https://www.googleapis.com/auth/cloud-platform"
 ]
 }
+},
+"resources": {
+"chunks": {
+"methods": {
+"get": {
+"description": "Gets a Document.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/collections/{collectionsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents/{documentsId}/chunks/{chunksId}",
+"httpMethod": "GET",
+"id": "discoveryengine.projects.locations.collections.dataStores.branches.documents.chunks.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Full resource name of Chunk, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}/chunks/{chunk}`. If the caller does not have permission to access the Chunk, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Chunk does not exist, a `NOT_FOUND` error is returned.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+/branches/[^/]+/documents/[^/]+/chunks/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}",
+"response": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaChunk"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"list": {
+"description": "Gets a list of Chunks.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/collections/{collectionsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents/{documentsId}/chunks",
+"httpMethod": "GET",
+"id": "discoveryengine.projects.locations.collections.dataStores.branches.documents.chunks.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Maximum number of Chunks to return. If unspecified, defaults to 100. The maximum allowed value is 1000. Values above 1000 will be coerced to 1000. If this field is negative, an `INVALID_ARGUMENT` error is returned.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "A page token ListChunksResponse.next_page_token, received from a previous ChunkService.ListChunks call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to ChunkService.ListChunks must match the call that provided the page token. Otherwise, an `INVALID_ARGUMENT` error is returned.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent document resource name, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to list Chunks under this document, regardless of whether or not this document exists, a `PERMISSION_DENIED` error is returned.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+/branches/[^/]+/documents/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+parent}/chunks",
+"response": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaListChunksResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+}
+}
+}
 }
 },
 "operations": {
@@ -1574,7 +1694,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}`",
+"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -1610,7 +1730,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}`",
+"description": "Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+$",
 "required": true,
@@ -1635,7 +1755,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -2896,7 +3016,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}`",
+"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/engines/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -2932,7 +3052,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}`",
+"description": "Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/engines/[^/]+$",
 "required": true,
@@ -2957,7 +3077,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/engines/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -3142,7 +3262,7 @@
 "type": "string"
 },
 "queryModel": {
-"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *",
+"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.",
 "location": "query",
 "type": "string"
 },
@@ -3496,6 +3616,59 @@
 "https://www.googleapis.com/auth/cloud-platform"
 ]
 },
+"getProcessedDocument": {
+"description": "Gets the parsed layout information for a Document.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents/{documentsId}:getProcessedDocument",
+"httpMethod": "GET",
+"id": "discoveryengine.projects.locations.dataStores.branches.documents.getProcessedDocument",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Full resource name of Document, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to access the Document, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Document does not exist, a `NOT_FOUND` error is returned.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+/branches/[^/]+/documents/[^/]+$",
+"required": true,
+"type": "string"
+},
+"processedDocumentFormat": {
+"description": "What format output should be. If unspecified, defaults to JSON.",
+"enum": [
+"PROCESSED_DOCUMENT_FORMAT_UNSPECIFIED",
+"JSON"
+],
+"enumDescriptions": [
+"Default value.",
+"output format will be a JSON string representation of processed document."
+],
+"location": "query",
+"type": "string"
+},
+"processedDocumentType": {
+"description": "Required. What type of processing to return.",
+"enum": [
+"PROCESSED_DOCUMENT_TYPE_UNSPECIFIED",
+"PARSED_DOCUMENT",
+"CHUNKED_DOCUMENT"
+],
+"enumDescriptions": [
+"Default value.",
+"Available for all data store parsing configs.",
+"Only available if ChunkingConfig is enabeld on the data store."
+],
+"location": "query",
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}:getProcessedDocument",
+"response": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaProcessedDocument"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
 "import": {
 "description": "Bulk import of multiple Documents. Request processing may be synchronous. Non-existing items will be created. Note: It is possible for a subset of the Documents to be successfully updated.",
 "flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents:import",
@@ -3627,6 +3800,73 @@
 "https://www.googleapis.com/auth/cloud-platform"
 ]
 }
+},
+"resources": {
+"chunks": {
+"methods": {
+"get": {
+"description": "Gets a Document.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents/{documentsId}/chunks/{chunksId}",
+"httpMethod": "GET",
+"id": "discoveryengine.projects.locations.dataStores.branches.documents.chunks.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Full resource name of Chunk, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}/chunks/{chunk}`. If the caller does not have permission to access the Chunk, regardless of whether or not it exists, a `PERMISSION_DENIED` error is returned. If the requested Chunk does not exist, a `NOT_FOUND` error is returned.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+/branches/[^/]+/documents/[^/]+/chunks/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}",
+"response": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaChunk"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"list": {
+"description": "Gets a list of Chunks.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/dataStores/{dataStoresId}/branches/{branchesId}/documents/{documentsId}/chunks",
+"httpMethod": "GET",
+"id": "discoveryengine.projects.locations.dataStores.branches.documents.chunks.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Maximum number of Chunks to return. If unspecified, defaults to 100. The maximum allowed value is 1000. Values above 1000 will be coerced to 1000. If this field is negative, an `INVALID_ARGUMENT` error is returned.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "A page token ListChunksResponse.next_page_token, received from a previous ChunkService.ListChunks call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to ChunkService.ListChunks must match the call that provided the page token. Otherwise, an `INVALID_ARGUMENT` error is returned.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent document resource name, such as `projects/{project}/locations/{location}/collections/{collection}/dataStores/{data_store}/branches/{branch}/documents/{document}`. If the caller does not have permission to list Chunks under this document, regardless of whether or not this document exists, a `PERMISSION_DENIED` error is returned.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+/branches/[^/]+/documents/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+parent}/chunks",
+"response": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaListChunksResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+}
+}
+}
 }
 },
 "operations": {
@@ -4203,7 +4443,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}`",
+"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -4239,7 +4479,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}`",
+"description": "Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+$",
 "required": true,
@@ -4264,7 +4504,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -4946,7 +5186,7 @@
 }
 }
 },
-"revision": "20240305",
+"revision": "20240318",
 "rootUrl": "https://discoveryengine.googleapis.com/",
 "schemas": {
 "GoogleApiHttpBody": {
@@ -5345,12 +5585,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1DigitalParsingConfig": {
-"description": "The digital parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1DigitalParsingConfig",
-"properties": {},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1DisableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.DisableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1DisableAdvancedSiteSearchMetadata",
@@ -5401,16 +5635,40 @@
 "id": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfig",
 "properties": {
 "digitalParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1DigitalParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigDigitalParsingConfig",
 "description": "Configurations applied to digital parser."
 },
 "ocrParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1OcrParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigOcrParsingConfig",
 "description": "Configurations applied to OCR parser. Currently it only applies to PDFs."
 }
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigDigitalParsingConfig": {
+"description": "The digital parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigDigitalParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigOcrParsingConfig": {
+"description": "The OCR parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigOcrParsingConfig",
+"properties": {
+"enhancedDocumentElements": {
+"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
+"items": {
+"type": "string"
+},
+"type": "array"
+},
+"useNativeText": {
+"description": "If true, will use native text instead of OCR text on pages containing native text.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1EnableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.EnableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1EnableAdvancedSiteSearchMetadata",
@@ -5763,24 +6021,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1OcrParsingConfig": {
-"description": "The OCR parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1OcrParsingConfig",
-"properties": {
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1PurgeDocumentsMetadata": {
 "description": "Metadata related to the progress of the PurgeDocuments operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1PurgeDocumentsMetadata",
@@ -6222,7 +6462,7 @@
 "type": "string"
 },
 "queryModel": {
-"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *",
+"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.",
 "type": "string"
 },
 "userPseudoId": {
@@ -6722,12 +6962,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1alphaDigitalParsingConfig": {
-"description": "The digital parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaDigitalParsingConfig",
-"properties": {},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1alphaDisableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.DisableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1alphaDisableAdvancedSiteSearchMetadata",
@@ -6820,6 +7054,7 @@
 "id": "GoogleCloudDiscoveryengineV1alphaDocumentAclInfo",
 "properties": {
 "readers": {
+"description": "Readers of the document.",
 "items": {
 "$ref": "GoogleCloudDiscoveryengineV1alphaDocumentAclInfoAccessRestriction"
 },
@@ -6909,11 +7144,6 @@
 "description": "The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.",
 "type": "string"
 },
-"ocrConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaOcrConfig",
-"deprecated": true,
-"description": "[DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs."
-},
 "parsingConfigOverrides": {
 "additionalProperties": {
 "$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfig"
@@ -6956,20 +7186,50 @@
 "id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfig",
 "properties": {
 "digitalParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaDigitalParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
 "description": "Configurations applied to digital parser."
 },
 "layoutParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaLayoutParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigLayoutParsingConfig",
 "description": "Configurations applied to layout parser."
 },
 "ocrParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaOcrParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigOcrParsingConfig",
 "description": "Configurations applied to OCR parser. Currently it only applies to PDFs."
 }
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigDigitalParsingConfig": {
+"description": "The digital parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigLayoutParsingConfig": {
+"description": "The layout parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigLayoutParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigOcrParsingConfig": {
+"description": "The OCR parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigOcrParsingConfig",
+"properties": {
+"enhancedDocumentElements": {
+"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
+"items": {
+"type": "string"
+},
+"type": "array"
+},
+"useNativeText": {
+"description": "If true, will use native text instead of OCR text on pages containing native text.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1alphaDoubleList": {
 "description": "Double list.",
 "id": "GoogleCloudDiscoveryengineV1alphaDoubleList",
@@ -7029,10 +7289,6 @@
 "description": "Metadata that describes the training and serving parameters of an Engine.",
 "id": "GoogleCloudDiscoveryengineV1alphaEngine",
 "properties": {
-"allowMultipleDataStoresSearchEngine": {
-"description": "Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.",
-"type": "boolean"
-},
 "chatEngineConfig": {
 "$ref": "GoogleCloudDiscoveryengineV1alphaEngineChatEngineConfig",
 "description": "Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT."
@@ -7942,10 +8198,22 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1alphaLayoutParsingConfig": {
-"description": "The layout parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaLayoutParsingConfig",
-"properties": {},
+"GoogleCloudDiscoveryengineV1alphaListChunksResponse": {
+"description": "Response message for ChunkService.ListChunks method.",
+"id": "GoogleCloudDiscoveryengineV1alphaListChunksResponse",
+"properties": {
+"chunks": {
+"description": "The Chunks.",
+"items": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaChunk"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token that can be sent as ListChunksRequest.page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.",
+"type": "string"
+}
+},
 "type": "object"
 },
 "GoogleCloudDiscoveryengineV1alphaListConversationsResponse": {
@@ -8118,47 +8386,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1alphaOcrConfig": {
-"deprecated": true,
-"description": "The OCR options for parsing documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaOcrConfig",
-"properties": {
-"enabled": {
-"description": "Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.",
-"type": "boolean"
-},
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
-"GoogleCloudDiscoveryengineV1alphaOcrParsingConfig": {
-"description": "The OCR parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaOcrParsingConfig",
-"properties": {
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1alphaPageInfo": {
 "description": "Detailed page information.",
 "id": "GoogleCloudDiscoveryengineV1alphaPageInfo",
@@ -8228,6 +8455,21 @@
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1alphaProcessedDocument": {
+"description": "Document captures all raw metadata information of items to be recommended or searched.",
+"id": "GoogleCloudDiscoveryengineV1alphaProcessedDocument",
+"properties": {
+"document": {
+"description": "Required. Full resource name of the referenced document, in the format `projects/*/locations/*/collections/*/dataStores/*/branches/*/documents/*`.",
+"type": "string"
+},
+"jsonData": {
+"description": "The JSON string representation of the processed document.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1alphaPurgeDocumentsMetadata": {
 "description": "Metadata related to the progress of the PurgeDocuments operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1alphaPurgeDocumentsMetadata",
@@ -8751,6 +8993,13 @@
 "$ref": "GoogleCloudDiscoveryengineV1alphaCustomFineTuningSpec",
 "description": "Custom fine tuning configs."
 },
+"dataStoreSpecs": {
+"description": "A list of data store specs to apply on a search call.",
+"items": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaSearchRequestDataStoreSpec"
+},
+"type": "array"
+},
 "embeddingSpec": {
 "$ref": "GoogleCloudDiscoveryengineV1alphaSearchRequestEmbeddingSpec",
 "description": "Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path."
@@ -8856,12 +9105,12 @@
 "id": "GoogleCloudDiscoveryengineV1alphaSearchRequestBoostSpecConditionBoostSpec",
 "properties": {
 "boost": {
-"description": "Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.",
+"description": "Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.",
 "format": "float",
 "type": "number"
 },
 "condition": {
-"description": "An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID \"doc_1\" or \"doc_2\", and color \"Red\" or \"Blue\": * (document_id: ANY(\"doc_1\", \"doc_2\")) AND (color: ANY(\"Red\", \"Blue\"))",
+"description": "An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID \"doc_1\" or \"doc_2\", and color \"Red\" or \"Blue\": `(document_id: ANY(\"doc_1\", \"doc_2\")) AND (color: ANY(\"Red\", \"Blue\"))`",
 "type": "string"
 }
 },
@@ -8923,6 +9172,10 @@
 "description": "Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.",
 "format": "int32",
 "type": "integer"
+},
+"returnExtractiveSegmentScore": {
+"description": "Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.",
+"type": "boolean"
 }
 },
 "type": "object"
@@ -8978,9 +9231,13 @@
 "description": "If specified, the spec will be used to modify the model specification provided to the LLM."
 },
 "summaryResultCount": {
-"description": "The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.",
+"description": "The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.",
 "format": "int32",
 "type": "integer"
+},
+"useSemanticChunks": {
+"description": "If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.",
+"type": "boolean"
 }
 },
 "type": "object"
@@ -9001,7 +9258,18 @@
 "id": "GoogleCloudDiscoveryengineV1alphaSearchRequestContentSearchSpecSummarySpecModelSpec",
 "properties": {
 "version": {
-"description": "The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.",
+"description": "The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1alphaSearchRequestDataStoreSpec": {
+"description": "A struct to define data stores to filter on in a search call.",
+"id": "GoogleCloudDiscoveryengineV1alphaSearchRequestDataStoreSpec",
+"properties": {
+"dataStore": {
+"description": "Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.",
 "type": "string"
 }
 },
@@ -9599,7 +9867,7 @@
 "type": "string"
 },
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "type": "string"
 },
 "onewaySynonymsControlIds": {
@@ -9679,12 +9947,6 @@
 "format": "int32",
 "type": "integer"
 },
-"contentWatchedMinutesThreshold": {
-"deprecated": true,
-"description": "Specifies the content watched minutes threshold for demotion.",
-"format": "float",
-"type": "number"
-},
 "contentWatchedPercentageThreshold": {
 "description": "Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.",
 "format": "float",
@@ -9919,11 +10181,11 @@
 "id": "GoogleCloudDiscoveryengineV1alphaTrainCustomModelRequestGcsTrainingInput",
 "properties": {
 "corpusDataPath": {
-"description": "The Cloud Storage corpus data which could be associated in train data. The data path format is gs:///. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id, title and text. Example: {\"_id\": \"doc1\", title: \"relevant doc\", \"text\": \"relevant text\"}",
+"description": "The Cloud Storage corpus data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id, title and text. Example: `{\"_id\": \"doc1\", title: \"relevant doc\", \"text\": \"relevant text\"}`",
 "type": "string"
 },
 "queryDataPath": {
-"description": "The gcs query data which could be associated in train data. The data path format is gs:///. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id and text. Example: {\"_id\": \"query1\", \"text\": \"example query\"}",
+"description": "The gcs query data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id and text. Example: {\"_id\": \"query1\", \"text\": \"example query\"}",
 "type": "string"
 },
 "testDataPath": {
@@ -9931,7 +10193,7 @@
 "type": "string"
 },
 "trainDataPath": {
-"description": "Cloud Storage training data path whose format should be gs:///. The file should be in tsv format. Each line should have the doc_id and query_id and score (number). For search-tuning model, it should have the query-id corpus-id score as tsv file header. The score should be a number in [0, inf+). The larger the number is, the more relevant the pair is. Example: query-id\\tcorpus-id\\tscore query1\\tdoc1\\t1",
+"description": "Cloud Storage training data path whose format should be `gs:///`. The file should be in tsv format. Each line should have the doc_id and query_id and score (number). For search-tuning model, it should have the query-id corpus-id score as tsv file header. The score should be a number in `[0, inf+)`. The larger the number is, the more relevant the pair is. Example: * `query-id\\tcorpus-id\\tscore` * `query1\\tdoc1\\t1`",
 "type": "string"
 }
 },
@@ -10221,6 +10483,14 @@
 },
 "type": "array"
 },
+"collectionComponents": {
+"description": "Output only. Collection components that lists all collections and child data stores associated with the widget config, those data sources can be used for filtering in widget service APIs, users can return results that from selected data sources.",
+"items": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaWidgetConfigCollectionComponent"
+},
+"readOnly": true,
+"type": "array"
+},
 "configId": {
 "description": "Output only. Unique obfuscated identifier of a WidgetConfig.",
 "readOnly": true,
@@ -10255,6 +10525,13 @@
 "readOnly": true,
 "type": "string"
 },
+"dataStoreUiConfigs": {
+"description": "Configurable UI configurations per data store.",
+"items": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaWidgetConfigDataStoreUiConfig"
+},
+"type": "array"
+},
 "displayName": {
 "description": "Required. The human readable widget config display name. Used in Discovery UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.",
 "type": "string"
@@ -10373,6 +10650,83 @@
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1alphaWidgetConfigCollectionComponent": {
+"description": "Read-only collection component that contains data store collections fields that may be used for filtering",
+"id": "GoogleCloudDiscoveryengineV1alphaWidgetConfigCollectionComponent",
+"properties": {
+"dataStoreComponents": {
+"description": "For the data store collection, list of the children data stores.",
+"items": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaWidgetConfigDataStoreComponent"
+},
+"type": "array"
+},
+"displayName": {
+"description": "The display name of the collection.",
+"type": "string"
+},
+"id": {
+"description": "Output only. the identifier of the collection, used for widget service. For now it refers to collection_id, in the future we will migrate the field to encrypted collection name UUID.",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "The name of the collection. It should be collection resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection_id}`. For widget service usage, such look up widget config, returned name should be skipped.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1alphaWidgetConfigDataStoreComponent": {
+"description": "Read-only data store component that contains data stores fields that may be used for filtering, it's the child of `CollectionComponent`.",
+"id": "GoogleCloudDiscoveryengineV1alphaWidgetConfigDataStoreComponent",
+"properties": {
+"displayName": {
+"description": "The display name of the data store.",
+"type": "string"
+},
+"id": {
+"description": "Output only. the identifier of the data store, used for widget service. For now it refers to data_store_id, in the future we will migrate the field to encrypted data store name UUID.",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "The name of the data store. It should be data store resource name Format: `projects/{project_number}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`. For widget service usage, such look up widget config, returned name should be skipped.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1alphaWidgetConfigDataStoreUiConfig": {
+"description": "UI component configuration for data store.",
+"id": "GoogleCloudDiscoveryengineV1alphaWidgetConfigDataStoreUiConfig",
+"properties": {
+"facetField": {
+"description": "Facet fields that store the mapping of fields to end user widget appearance.",
+"items": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaWidgetConfigFacetField"
+},
+"type": "array"
+},
+"fieldsUiComponentsMap": {
+"additionalProperties": {
+"$ref": "GoogleCloudDiscoveryengineV1alphaWidgetConfigUIComponentField"
+},
+"description": "The key is the UI component. Mock. Currently supported `title`, `thumbnail`, `url`, `custom1`, `custom2`, `custom3`. The value is the name of the field along with its device visibility. The 3 custom fields are optional and can be added or removed. `title`, `thumbnail`, `url` are required UI components that cannot be removed.",
+"type": "object"
+},
+"id": {
+"description": "Output only. the identifier of the data store, used for widget service. For now it refers to data_store_id, in the future we will migrate the field to encrypted data store name UUID.",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "The name of the data store. It should be data store resource name Format: `projects/{project_number}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`. For widget service usage, such look up widget config, returned name should be skipped.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1alphaWidgetConfigFacetField": {
 "description": "Facet fields that store the mapping of fields to end user widget appearance.",
 "id": "GoogleCloudDiscoveryengineV1alphaWidgetConfigFacetField",
@@ -10746,12 +11100,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1betaDigitalParsingConfig": {
-"description": "The digital parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1betaDigitalParsingConfig",
-"properties": {},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1betaDisableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.DisableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1betaDisableAdvancedSiteSearchMetadata",
@@ -10802,16 +11150,40 @@
 "id": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfig",
 "properties": {
 "digitalParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1betaDigitalParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
 "description": "Configurations applied to digital parser."
 },
 "ocrParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1betaOcrParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigOcrParsingConfig",
 "description": "Configurations applied to OCR parser. Currently it only applies to PDFs."
 }
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigDigitalParsingConfig": {
+"description": "The digital parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigOcrParsingConfig": {
+"description": "The OCR parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigOcrParsingConfig",
+"properties": {
+"enhancedDocumentElements": {
+"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
+"items": {
+"type": "string"
+},
+"type": "array"
+},
+"useNativeText": {
+"description": "If true, will use native text instead of OCR text on pages containing native text.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1betaEnableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.EnableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1betaEnableAdvancedSiteSearchMetadata",
@@ -11164,24 +11536,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1betaOcrParsingConfig": {
-"description": "The OCR parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1betaOcrParsingConfig",
-"properties": {
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1betaPurgeDocumentsMetadata": {
 "description": "Metadata related to the progress of the PurgeDocuments operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1betaPurgeDocumentsMetadata",
@@ -11417,6 +11771,45 @@
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1betaTrainCustomModelMetadata": {
+"description": "Metadata related to the progress of the TrainCustomModel operation. This is returned by the google.longrunning.Operation.metadata field.",
+"id": "GoogleCloudDiscoveryengineV1betaTrainCustomModelMetadata",
+"properties": {
+"createTime": {
+"description": "Operation create time.",
+"format": "google-datetime",
+"type": "string"
+},
+"updateTime": {
+"description": "Operation last update time. If the operation is done, this is also the finish time.",
+"format": "google-datetime",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1betaTrainCustomModelResponse": {
+"description": "Response of the TrainCustomModelRequest. This message is returned by the google.longrunning.Operations.response field.",
+"id": "GoogleCloudDiscoveryengineV1betaTrainCustomModelResponse",
+"properties": {
+"errorConfig": {
+"$ref": "GoogleCloudDiscoveryengineV1betaImportErrorConfig",
+"description": "Echoes the destination for the complete errors in the request if set."
+},
+"errorSamples": {
+"description": "A sample of errors encountered while processing the data.",
+"items": {
+"$ref": "GoogleRpcStatus"
+},
+"type": "array"
+},
+"modelStatus": {
+"description": "The trained model status. Possible values are: * **bad-data**: The training data quality is bad. * **no-improvement**: Tuning didn't improve performance. Won't deploy. * **in-progress**: Model training is in progress. * **ready**: The model is ready for serving.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1betaUpdateSchemaMetadata": {
 "description": "Metadata for UpdateSchema LRO.",
 "id": "GoogleCloudDiscoveryengineV1betaUpdateSchemaMetadata",
diff --git a/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json b/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json
index 2efff404eb..f98e24386c 100644
--- a/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json
@@ -214,7 +214,7 @@
 "type": "string"
 },
 "queryModel": {
-"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *",
+"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.",
 "location": "query",
 "type": "string"
 },
@@ -419,6 +419,34 @@
 "scopes": [
 "https://www.googleapis.com/auth/cloud-platform"
 ]
+},
+"trainCustomModel": {
+"description": "Trains a custom model.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/collections/{collectionsId}/dataStores/{dataStoresId}:trainCustomModel",
+"httpMethod": "POST",
+"id": "discoveryengine.projects.locations.collections.dataStores.trainCustomModel",
+"parameterOrder": [
+"dataStore"
+],
+"parameters": {
+"dataStore": {
+"description": "Required. The resource name of the Data Store, such as `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. This field is used to identify the data store where to train the models.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+dataStore}:trainCustomModel",
+"request": {
+"$ref": "GoogleCloudDiscoveryengineV1betaTrainCustomModelRequest"
+},
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
 }
 },
 "resources": {
@@ -1282,7 +1310,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}`",
+"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -1318,7 +1346,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}`",
+"description": "Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+$",
 "required": true,
@@ -1343,7 +1371,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -2492,7 +2520,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}`",
+"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/engines/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -2528,7 +2556,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}`",
+"description": "Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/engines/[^/]+$",
 "required": true,
@@ -2553,7 +2581,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/engines/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -2738,7 +2766,7 @@
 "type": "string"
 },
 "queryModel": {
-"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores. *",
+"description": "Specifies the autocomplete data model. This overrides any model specified in the Configuration > Autocomplete section of the Cloud console. Currently supported values: * `document` - Using suggestions generated from user-imported documents. * `search-history` - Using suggestions generated from the past history of SearchService.Search API calls. Do not use it when there is no traffic for Search API. * `user-event` - Using suggestions generated from user-imported search events. * `document-completable` - Using suggestions taken directly from user-imported document fields marked as completable. Default values: * `document` is the default model for regular dataStores. * `search-history` is the default model for site search dataStores.",
 "location": "query",
 "type": "string"
 },
@@ -3734,7 +3762,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/servingConfigs/{serving_config_id}`",
+"description": "Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -3770,7 +3798,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. The dataStore resource name. Format: `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}`",
+"description": "Required. Full resource name of the parent resource. Format: `projects/{project_number}/locations/{location}/collections/{collection}/engines/{engine}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+$",
 "required": true,
@@ -3795,7 +3823,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "location": "path",
 "pattern": "^projects/[^/]+/locations/[^/]+/dataStores/[^/]+/servingConfigs/[^/]+$",
 "required": true,
@@ -4449,7 +4477,7 @@
 }
 }
 },
-"revision": "20240305",
+"revision": "20240318",
 "rootUrl": "https://discoveryengine.googleapis.com/",
 "schemas": {
 "GoogleApiHttpBody": {
@@ -4848,12 +4876,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1DigitalParsingConfig": {
-"description": "The digital parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1DigitalParsingConfig",
-"properties": {},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1DisableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.DisableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1DisableAdvancedSiteSearchMetadata",
@@ -4904,16 +4926,40 @@
 "id": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfig",
 "properties": {
 "digitalParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1DigitalParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigDigitalParsingConfig",
 "description": "Configurations applied to digital parser."
 },
 "ocrParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1OcrParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigOcrParsingConfig",
 "description": "Configurations applied to OCR parser. Currently it only applies to PDFs."
 }
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigDigitalParsingConfig": {
+"description": "The digital parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigDigitalParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigOcrParsingConfig": {
+"description": "The OCR parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1DocumentProcessingConfigParsingConfigOcrParsingConfig",
+"properties": {
+"enhancedDocumentElements": {
+"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
+"items": {
+"type": "string"
+},
+"type": "array"
+},
+"useNativeText": {
+"description": "If true, will use native text instead of OCR text on pages containing native text.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1EnableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.EnableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1EnableAdvancedSiteSearchMetadata",
@@ -5266,24 +5312,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1OcrParsingConfig": {
-"description": "The OCR parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1OcrParsingConfig",
-"properties": {
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1PurgeDocumentsMetadata": {
 "description": "Metadata related to the progress of the PurgeDocuments operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1PurgeDocumentsMetadata",
@@ -5827,12 +5855,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1alphaDigitalParsingConfig": {
-"description": "The digital parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaDigitalParsingConfig",
-"properties": {},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1alphaDisableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.DisableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1alphaDisableAdvancedSiteSearchMetadata",
@@ -5872,11 +5894,6 @@
 "description": "The full resource name of the Document Processing Config. Format: `projects/*/locations/*/collections/*/dataStores/*/documentProcessingConfig`.",
 "type": "string"
 },
-"ocrConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaOcrConfig",
-"deprecated": true,
-"description": "[DEPRECATED] This field is deprecated. To specify OCR parsing config, please specify `ocr_parsing_config` in `default_parsing_config` field The OCR config. Currently it only applies to PDFs."
-},
 "parsingConfigOverrides": {
 "additionalProperties": {
 "$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfig"
@@ -5919,20 +5936,50 @@
 "id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfig",
 "properties": {
 "digitalParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaDigitalParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
 "description": "Configurations applied to digital parser."
 },
 "layoutParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaLayoutParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigLayoutParsingConfig",
 "description": "Configurations applied to layout parser."
 },
 "ocrParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1alphaOcrParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigOcrParsingConfig",
 "description": "Configurations applied to OCR parser. Currently it only applies to PDFs."
 }
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigDigitalParsingConfig": {
+"description": "The digital parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigLayoutParsingConfig": {
+"description": "The layout parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigLayoutParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigOcrParsingConfig": {
+"description": "The OCR parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1alphaDocumentProcessingConfigParsingConfigOcrParsingConfig",
+"properties": {
+"enhancedDocumentElements": {
+"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
+"items": {
+"type": "string"
+},
+"type": "array"
+},
+"useNativeText": {
+"description": "If true, will use native text instead of OCR text on pages containing native text.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1alphaEnableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.EnableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1alphaEnableAdvancedSiteSearchMetadata",
@@ -5960,10 +6007,6 @@
 "description": "Metadata that describes the training and serving parameters of an Engine.",
 "id": "GoogleCloudDiscoveryengineV1alphaEngine",
 "properties": {
-"allowMultipleDataStoresSearchEngine": {
-"description": "Whether the search engine can associate with multiple data stores. If true, the generic search engine can associate with one or more data stores. This is an input-only field.",
-"type": "boolean"
-},
 "chatEngineConfig": {
 "$ref": "GoogleCloudDiscoveryengineV1alphaEngineChatEngineConfig",
 "description": "Configurations for the Chat Engine. Only applicable if solution_type is SOLUTION_TYPE_CHAT."
@@ -6597,53 +6640,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1alphaLayoutParsingConfig": {
-"description": "The layout parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaLayoutParsingConfig",
-"properties": {},
-"type": "object"
-},
-"GoogleCloudDiscoveryengineV1alphaOcrConfig": {
-"deprecated": true,
-"description": "The OCR options for parsing documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaOcrConfig",
-"properties": {
-"enabled": {
-"description": "Required. If OCR is enabled or not. OCR must be enabled for other OcrConfig options to apply. We will only perform OCR on the first 80 pages of the PDF files.",
-"type": "boolean"
-},
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
-"GoogleCloudDiscoveryengineV1alphaOcrParsingConfig": {
-"description": "The OCR parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1alphaOcrParsingConfig",
-"properties": {
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1alphaPurgeDocumentsMetadata": {
 "description": "Metadata related to the progress of the PurgeDocuments operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1alphaPurgeDocumentsMetadata",
@@ -7672,12 +7668,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1betaDigitalParsingConfig": {
-"description": "The digital parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1betaDigitalParsingConfig",
-"properties": {},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1betaDisableAdvancedSiteSearchMetadata": {
 "description": "Metadata related to the progress of the SiteSearchEngineService.DisableAdvancedSiteSearch operation. This will be returned by the google.longrunning.Operation.metadata field.",
 "id": "GoogleCloudDiscoveryengineV1betaDisableAdvancedSiteSearchMetadata",
@@ -7839,16 +7829,40 @@
 "id": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfig",
 "properties": {
 "digitalParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1betaDigitalParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
 "description": "Configurations applied to digital parser."
 },
 "ocrParsingConfig": {
-"$ref": "GoogleCloudDiscoveryengineV1betaOcrParsingConfig",
+"$ref": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigOcrParsingConfig",
 "description": "Configurations applied to OCR parser. Currently it only applies to PDFs."
 }
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigDigitalParsingConfig": {
+"description": "The digital parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigDigitalParsingConfig",
+"properties": {},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigOcrParsingConfig": {
+"description": "The OCR parsing configurations for documents.",
+"id": "GoogleCloudDiscoveryengineV1betaDocumentProcessingConfigParsingConfigOcrParsingConfig",
+"properties": {
+"enhancedDocumentElements": {
+"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
+"items": {
+"type": "string"
+},
+"type": "array"
+},
+"useNativeText": {
+"description": "If true, will use native text instead of OCR text on pages containing native text.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1betaDoubleList": {
 "description": "Double list.",
 "id": "GoogleCloudDiscoveryengineV1betaDoubleList",
@@ -8574,24 +8588,6 @@
 },
 "type": "object"
 },
-"GoogleCloudDiscoveryengineV1betaOcrParsingConfig": {
-"description": "The OCR parsing configurations for documents.",
-"id": "GoogleCloudDiscoveryengineV1betaOcrParsingConfig",
-"properties": {
-"enhancedDocumentElements": {
-"description": "Apply additional enhanced OCR processing to a list of document elements. Supported values: * `table`: advanced table parsing model.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"useNativeText": {
-"description": "If true, will use native text instead of OCR text on pages containing native text.",
-"type": "boolean"
-}
-},
-"type": "object"
-},
 "GoogleCloudDiscoveryengineV1betaPageInfo": {
 "description": "Detailed page information.",
 "id": "GoogleCloudDiscoveryengineV1betaPageInfo",
@@ -8964,6 +8960,13 @@
 "$ref": "GoogleCloudDiscoveryengineV1betaSearchRequestContentSearchSpec",
 "description": "A specification for configuring the behavior of content search."
 },
+"dataStoreSpecs": {
+"description": "A list of data store specs to apply on a search call.",
+"items": {
+"$ref": "GoogleCloudDiscoveryengineV1betaSearchRequestDataStoreSpec"
+},
+"type": "array"
+},
 "embeddingSpec": {
 "$ref": "GoogleCloudDiscoveryengineV1betaSearchRequestEmbeddingSpec",
 "description": "Uses the provided embedding to do additional semantic document retrieval. The retrieval is based on the dot product of SearchRequest.EmbeddingSpec.EmbeddingVector.vector and the document embedding that is provided in SearchRequest.EmbeddingSpec.EmbeddingVector.field_path. If SearchRequest.EmbeddingSpec.EmbeddingVector.field_path is not provided, it will use ServingConfig.EmbeddingConfig.field_path."
@@ -9065,12 +9068,12 @@
 "id": "GoogleCloudDiscoveryengineV1betaSearchRequestBoostSpecConditionBoostSpec",
 "properties": {
 "boost": {
-"description": "Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.",
+"description": "Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the document a big promotion. However, it does not necessarily mean that the boosted document will be the top result at all times, nor that other documents will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant documents. Setting to -1.0 gives the document a big demotion. However, results that are deeply relevant might still be shown. The document will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored. Only one of the (condition, boost) combination or the boost_control_spec below are set. If both are set then the global boost is ignored and the more fine-grained boost_control_spec is applied.",
 "format": "float",
 "type": "number"
 },
 "condition": {
-"description": "An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID \"doc_1\" or \"doc_2\", and color \"Red\" or \"Blue\": * (document_id: ANY(\"doc_1\", \"doc_2\")) AND (color: ANY(\"Red\", \"Blue\"))",
+"description": "An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost documents with document ID \"doc_1\" or \"doc_2\", and color \"Red\" or \"Blue\": `(document_id: ANY(\"doc_1\", \"doc_2\")) AND (color: ANY(\"Red\", \"Blue\"))`",
 "type": "string"
 }
 },
@@ -9118,6 +9121,10 @@
 "description": "Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.",
 "format": "int32",
 "type": "integer"
+},
+"returnExtractiveSegmentScore": {
+"description": "Specifies whether to return the confidence score from the extractive segments in each search result. This feature is available only for new or allowlisted data stores. To allowlist your data store, please contact your Customer Engineer. The default value is `false`.",
+"type": "boolean"
 }
 },
 "type": "object"
@@ -9173,9 +9180,13 @@
 "description": "If specified, the spec will be used to modify the model specification provided to the LLM."
 },
 "summaryResultCount": {
-"description": "The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.",
+"description": "The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most 10 results can be used to generate a summary.",
 "format": "int32",
 "type": "integer"
+},
+"useSemanticChunks": {
+"description": "If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Please note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.",
+"type": "boolean"
 }
 },
 "type": "object"
@@ -9196,7 +9207,18 @@
 "id": "GoogleCloudDiscoveryengineV1betaSearchRequestContentSearchSpecSummarySpecModelSpec",
 "properties": {
 "version": {
-"description": "The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned version of the text-bison@001 model. * `preview`: string. (Public preview) Uses a fine-tuned version of the text-bison@002 model. This model works only for summaries in English.",
+"description": "The model version used to generate the summary. Supported values are: * `stable`: string. Default value when no value is specified. Uses a generally available, fine-tuned model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models). * `preview`: string. (Public preview) Uses a preview model. For more information, see [Answer generation model versions and lifecycle](https://cloud.google.com/generative-ai-app-builder/docs/answer-generation-models).",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1betaSearchRequestDataStoreSpec": {
+"description": "A struct to define data stores to filter on in a search call.",
+"id": "GoogleCloudDiscoveryengineV1betaSearchRequestDataStoreSpec",
+"properties": {
+"dataStore": {
+"description": "Required. Full resource name of DataStore, such as `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}`.",
 "type": "string"
 }
 },
@@ -9782,7 +9804,7 @@
 "type": "string"
 },
 "name": {
-"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/dataStores/{data_store_id}/servingConfigs/{serving_config_id}`",
+"description": "Immutable. Fully qualified name `projects/{project}/locations/{location}/collections/{collection_id}/engines/{engine_id}/servingConfigs/{serving_config_id}`",
 "type": "string"
 },
 "onewaySynonymsControlIds": {
@@ -9862,12 +9884,6 @@
 "format": "int32",
 "type": "integer"
 },
-"contentWatchedMinutesThreshold": {
-"deprecated": true,
-"description": "Specifies the content watched minutes threshold for demotion.",
-"format": "float",
-"type": "number"
-},
 "contentWatchedPercentageThreshold": {
 "description": "Specifies the content watched percentage threshold for demotion. Threshold value must be between [0, 1.0] inclusive.",
 "format": "float",
@@ -10061,6 +10077,87 @@
 },
 "type": "object"
 },
+"GoogleCloudDiscoveryengineV1betaTrainCustomModelMetadata": {
+"description": "Metadata related to the progress of the TrainCustomModel operation. This is returned by the google.longrunning.Operation.metadata field.",
+"id": "GoogleCloudDiscoveryengineV1betaTrainCustomModelMetadata",
+"properties": {
+"createTime": {
+"description": "Operation create time.",
+"format": "google-datetime",
+"type": "string"
+},
+"updateTime": {
+"description": "Operation last update time. If the operation is done, this is also the finish time.",
+"format": "google-datetime",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1betaTrainCustomModelRequest": {
+"description": "Request message for SearchTuningService.TrainCustomModel method.",
+"id": "GoogleCloudDiscoveryengineV1betaTrainCustomModelRequest",
+"properties": {
+"errorConfig": {
+"$ref": "GoogleCloudDiscoveryengineV1betaImportErrorConfig",
+"description": "The desired location of errors incurred during the data ingestion and training."
+},
+"gcsTrainingInput": {
+"$ref": "GoogleCloudDiscoveryengineV1betaTrainCustomModelRequestGcsTrainingInput",
+"description": "Cloud Storage training input."
+},
+"modelType": {
+"description": "Model to be trained. Supported values are: * **search-tuning**: Fine tuning the search system based on data provided.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1betaTrainCustomModelRequestGcsTrainingInput": {
+"description": "Cloud Storage training data input.",
+"id": "GoogleCloudDiscoveryengineV1betaTrainCustomModelRequestGcsTrainingInput",
+"properties": {
+"corpusDataPath": {
+"description": "The Cloud Storage corpus data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id, title and text. Example: `{\"_id\": \"doc1\", title: \"relevant doc\", \"text\": \"relevant text\"}`",
+"type": "string"
+},
+"queryDataPath": {
+"description": "The gcs query data which could be associated in train data. The data path format is `gs:///`. A newline delimited jsonl/ndjson file. For search-tuning model, each line should have the _id and text. Example: {\"_id\": \"query1\", \"text\": \"example query\"}",
+"type": "string"
+},
+"testDataPath": {
+"description": "Cloud Storage test data. Same format as train_data_path. If not provided, a random 80/20 train/test split will be performed on train_data_path.",
+"type": "string"
+},
+"trainDataPath": {
+"description": "Cloud Storage training data path whose format should be `gs:///`. The file should be in tsv format. Each line should have the doc_id and query_id and score (number). For search-tuning model, it should have the query-id corpus-id score as tsv file header. The score should be a number in `[0, inf+)`. The larger the number is, the more relevant the pair is. Example: * `query-id\\tcorpus-id\\tscore` * `query1\\tdoc1\\t1`",
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleCloudDiscoveryengineV1betaTrainCustomModelResponse": {
+"description": "Response of the TrainCustomModelRequest. This message is returned by the google.longrunning.Operations.response field.",
+"id": "GoogleCloudDiscoveryengineV1betaTrainCustomModelResponse",
+"properties": {
+"errorConfig": {
+"$ref": "GoogleCloudDiscoveryengineV1betaImportErrorConfig",
+"description": "Echoes the destination for the complete errors in the request if set."
+},
+"errorSamples": {
+"description": "A sample of errors encountered while processing the data.",
+"items": {
+"$ref": "GoogleRpcStatus"
+},
+"type": "array"
+},
+"modelStatus": {
+"description": "The trained model status. Possible values are: * **bad-data**: The training data quality is bad. * **no-improvement**: Tuning didn't improve performance. Won't deploy. * **in-progress**: Model training is in progress. * **ready**: The model is ready for serving.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDiscoveryengineV1betaTransactionInfo": {
 "description": "A transaction represents the entire purchase transaction.",
 "id": "GoogleCloudDiscoveryengineV1betaTransactionInfo",