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This PR adds a new cognee integration, knowledge graph based retrieval enabling developers to ingest documents into cognee’s knowledge graph, process them, and then retrieve context via CogneeRetriever. It includes: - langchain_cognee package with a CogneeRetriever class - a test for the integration, demonstrating how to create, process, and retrieve with cognee - an example notebook showing its use. It lives in `docs/docs/integrations` directory. Followed additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. Thank you for the review! --------- Co-authored-by: Chester Curme <chester.curme@gmail.com> |
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LangChain Documentation
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