Cypher Property Graph Traversal With Vector Similarity

via “graph-database-queries-with-cypher-syntax”

AgentDB v3 - Intelligent agentic vector database with RVF native format, RuVector-powered graph DB, Cypher queries, ACID persistence. 150x faster than SQLite with self-learning GNN, 6 cognitive memory patterns, semantic routing, COW branching, sparse/part

Unique: Cypher queries operate directly over the HNSW vector graph structure rather than maintaining separate graph and vector indices — eliminates synchronization overhead and enables semantic + structural queries in single operation

vs others: Tighter integration than Neo4j + vector DB combinations, with lower operational overhead and native support for agentic memory patterns like episodic chains and skill dependencies