A unified knowledge graph and vector database solution built on Redis that seamlessly integrates graph traversal and vector similarity search for building advanced GenAI applications with both relational reasoning and semantic search capabilities.
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FalkorDB is a high-performance graph database that provides native vector integration and Cypher support, specifically designed for GenAI applications with GraphRAG capabilities. It uses GraphBLAS under the hood for sparse adjacency matrix graph representation.
FalkorDB addresses the challenge of maintaining separate systems by providing:
Store vector indexes alongside Knowledge Graph entities, enabling efficient querying of both graph and semantic data within a single database.
Advanced query optimization techniques ensure efficient execution of complex queries spanning both vector and graph data.
Eliminate the operational overhead of maintaining separate vector and graph databases.
FalkorDB combines two powerful approaches:
This hybrid approach enables:
FalkorDB provides a GraphRAG-SDK that simplifies:
Open-source under AGPL license. Commercial licenses and managed services available.