Unverified50% confidenceFactExact time
LedgerLens's search_memory tool retrieves via FalkorDB full-text index, based on keyword matching and without relying on embedding models, so latency is extremely low.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLedgerLens uses FalkorDB graph algorithms as part of its tool menu, including algo.WCC for gang components, algo.pageRank and algo.betweenness for hubs and brokers, algo.SPpaths for up to three shortest money paths, and algo.maxFlow for funnel capacity between accounts.69% similarUnverifiedFalkorDB provides PageRank and community detection algorithms built in as database procedures.69% similarUnverifiedHandbookBrain implements hybrid retrieval entirely within FalkorDB: a vector index of section embeddings plus a full-text index of titles and bodies, fused with reciprocal rank fusion (RRF) and filtered to the current version.68% similarUnverifiedIn ClauseRipple, FalkorDB is the only database, with no parallel Postgres or separate vector store; every tool the agent calls is a Cypher query running on it.67% similar
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