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FalkorDB
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FalkorDB provides a unified solution that seamlessly integrates the capabilities of Knowledge Graphs and Vector Databases. Its low-latency, Redis-powered architecture is designed to efficiently handle both graph traversal and vector similarity searches, thus eliminating the need for separate systems and reducing integration complexity.

What to expect from an ideal product
- Combines graph relationships and vector searches in a single database, cutting down on system complexity
- Uses Redis as its backbone for quick data access and low response times
- Handles both regular graph queries and similarity searches without switching between tools
- Removes the hassle of syncing data between separate graph and vector databases
- Makes it easier to build apps that need both relationship mapping and vector-based features