New Feature: FalkorDB Support to semantic-kernel

[kingtroga]

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name: FalkorDB Support
about: adding support for FalkorDB to Semantic Kernel

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FalkorDB is a powerful graph database with built-in features like VectorStore, Graph, and ChatHistory. Adding FalkorDB support to Semantic Kernel would open up new possibilities for vector-based semantic search, enhanced knowledge graph integrations, and seamless history management.

Specifically, I propose:

1. Adding a FalkorDB VectorStore integration, similar to the ones available for other vector databases.
2. Introducing FalkorDB support for workflows involving semantic embeddings and data retrieval.

Why is this feature valuable?

• It provides users with a new, cutting-edge backend for semantic search and graph data exploration.
• FalkorDB’s feature set aligns with the needs of Semantic Kernel’s audience, enabling advanced use cases like contextual data retrieval and graph-enhanced AI applications.
• Expanding the range of supported databases will increase Semantic Kernel's versatility.

How I’ve done this before
I previously contributed FalkorDB support to LangChain, where I integrated its VectorStore features. The contribution was well-received and has been actively used by the community. Now, I’m eager to bring that experience to Semantic Kernel and build an equally robust integration here.

Looking forward to hearing your thoughts!
If this aligns with the project’s goals, I’d be happy to start working on this and discuss implementation details. Thank you for considering this suggestion!