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When calling the /api/conversation/azure_byod endpoint, generate embeddings of the question using computer vision and query the image embeddings using the question embeddings. We should continue to create question embeddings using text-embeddings-ada-002 in addition to be used to search the image description.
Tasks
Generate question embeddings using computer vision
Query the search index using the generated embeddings
Pass any returned images to gpt-4-vision along with the chat
The text was updated successfully, but these errors were encountered:
I'm not sure how you envision this @adamdougal , but I'm not sure it's possible, as Azure OpenAI on your data only supports vector search using Ada embeddings
Is it that we use the user's question to find the closest images, and then we pass these image(s) to GPT-4?
If so, that seems like quite a lot of custom code for the BYOD endpoint, I had thought that the byod endpoint was essentially a wrapper for Azure OpenAI On Your Data without much customisation
Required by #323
Description
When calling the
/api/conversation/azure_byod
endpoint, generate embeddings of the question using computer vision and query the image embeddings using the question embeddings. We should continue to create question embeddings usingtext-embeddings-ada-002
in addition to be used to search the image description.Tasks
gpt-4-vision
along with the chatThe text was updated successfully, but these errors were encountered: