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Database query execution that treats relationships as matrices to perform multi-hop traversals via linear algebra.
Distinct from Sparse Linear Algebra Routines: This is a core database execution strategy, not a scientific library or a batch process.
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FalkorDB is a high-performance graph database management system and vector graph database. It serves as a knowledge graph construction tool and a GraphRAG knowledge store, integrating structured property graphs with vector search to provide grounded context for large language models. The engine is designed as a multi-tenant graph engine, capable of hosting thousands of isolated datasets within a single instance. The system distinguishes itself by using linear algebra for query execution, treating relationship tensors as matrix multiplications to achieve low-latency multi-hop traversals. It ut
Executes graph queries using sparse matrices and linear algebra to achieve ultra-low latency multi-hop traversals.