Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Save original url of data or file when embedding to knowledge base via API #4265

Open
3 of 4 tasks
Emirateyang opened this issue May 10, 2024 · 0 comments
Open
3 of 4 tasks
Labels
👻 feat:rag Embedding related issue, like qdrant, weaviate, milvus, vector database.

Comments

@Emirateyang
Copy link

Self Checks

  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • Pleas do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing?

When performing information retrieval use RAG, I hope that in addition to returning relevant content segments, the system can also return the original address of the matched files or data.
Therefore, I would like the ability to pass in the original address of the data when using the API to add data to the knowledge base.

2. Describe the feature you'd like to see

Save data to knowledge base:could pass in the original address of the data(text or file)
Retrieval:can return the original address of the matched files or data.

3. How will this feature improve your workflow or experience?

In some cases, If the original files are publicly accessible web pages or documents, the system can also provide the original URL links in the returned results, allowing users to directly access the sources.

4. Additional context or comments

No response

5. Can you help us with this feature?

  • I am interested in contributing to this feature.
@dosubot dosubot bot added the 👻 feat:rag Embedding related issue, like qdrant, weaviate, milvus, vector database. label May 10, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
👻 feat:rag Embedding related issue, like qdrant, weaviate, milvus, vector database.
Projects
None yet
Development

No branches or pull requests

1 participant