langchain

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Tari Yekorogha d262d41cc0 community: added FalkorDB vector store support i.e implementation, test, docs an… (#26245 )

**Description:** Added support for FalkorDB Vector Store, including its
implementation, unit tests, documentation, and an example notebook. The
FalkorDB integration allows users to efficiently manage and query
embeddings in a vector database, with relevance scoring and maximal
marginal relevance search. The following components were implemented:

- Core implementation for FalkorDBVector store.
- Unit tests ensuring proper functionality and edge case coverage.
- Example notebook demonstrating an end-to-end setup, search, and
retrieval using FalkorDB.

**Twitter handle:** @tariyekorogha

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Co-authored-by: Erick Friis <erick@langchain.dev>

2024-12-16 19:37:55 +00:00

redis

multiple: pydantic 2 compatibility, v0.3 (#26443 )

2024-09-13 14:38:45 -07:00

__init__.py

…

test_aerospike.py

infra: update mypy 1.10, ruff 0.5 (#23721 )

2024-07-03 10:33:27 -07:00

test_azure_search.py

community : [bugfix] Use document ids as keys in AzureSearch vectorstore (#25486 )

2024-09-19 09:37:18 -04:00