Unverified50% confidenceFactExact time
LedgerLens 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.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLedgerLens'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.69% similarUnverifiedFalkorDB provides PageRank and community detection algorithms built in as database procedures.62% similarUnverifiedKhoj uses FalkorDB's built-in graph algorithms: it runs weakly connected components on the director-company graph to find hidden cliques, and uses betweenness centrality to identify key directors that bridge different companies.62% similarUnverifiedRootprint's tech stack includes Bun + Hono for the API layer, SvelteKit for the frontend, PostgreSQL for metadata storage, and Quickwit as the search engine.62% similarUnverifiedDecision Brain uses FalkorDB's built-in algorithms algo.pageRank to answer which files carry the most reasoning, and algo.SPpaths to answer how two things are connected.60% similar
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