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**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 --------- Co-authored-by: Erick Friis <erick@langchain.dev>
🦜️🧑🤝🧑 LangChain Community
Quick Install
pip install langchain-community
What is it?
LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.
For full documentation see the API reference.
📕 Releases & Versioning
langchain-community is currently on version 0.0.x
All changes will be accompanied by a patch version increase.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.