Skip to content

docs: Add SharePointLoader and Postgres PGVector supported list #404

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

Merged
merged 1 commit into from
Jul 12, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions docs/gh_pages/docs/rag.md
Original file line number Diff line number Diff line change
Expand Up @@ -62,5 +62,6 @@ The following Langchain DocumentLoaders are currently supported.
1. GoogleDriveLoader
1. PyPDFDirectoryLoader
1. PyPDFLoader
1. SharePointLoader

> Note <sup>1</sup>: _Most other Langchain document loaders that implement load() and lazy_load() methods should work. The above list indicates the ones that are explicitly tested. If you have successfully tested a particular DocumentLoader other than this list above, please consider raising an PR._
1 change: 1 addition & 0 deletions docs/gh_pages/docs/retrieval_chain.md
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@ databases.

1. Qdrant
1. Pinecone
1. Postgres(utilizing the pgvector extension)
Copy link
Collaborator Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

FYI, We need to mention the pgvector extension because there is another Postgres extension with a similar name, pgvecto.rs, which is also supported in Langchain (Ref: PGVecto.rs).


**Load vector database with authorization information in metadata:**

Expand Down