Unverified50% confidenceFactExact time
Khoj 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.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedKhoj uses FalkorDB's multi-graph feature to maintain a separate memory graph for each homebuyer; the memory graph stores preferences and their history (changing the budget creates a new node that SUPERSEDES the old node), standing rules, sessions, candidate lists, and case files.65% similarUnverifiedThe visible information for Kimi K3.1 includes a maximum context length of 1 million tokens, three levels of reasoning intensity (low/high/highest), a Swarm multi-agent collaboration mode, and search and batch processing capabilities.57% similarUnverifiedThe HandsOnRepo team used the graph database FalkorDB to build the FalkorDB GitHub organization data into a "company brain" graph to answer questions requiring multi-hop relational reasoning.57% similarUnverifiedIdeator uses the FalkorDB graph database to store a separate knowledge graph for each session, with nodes including companies, prices, features, and complaints.55% similarUnverifiedKhoj is an open-source project that models the entity relationships in RERA filings, company records, court records, and land records as a graph, and uses graph algorithms to compute risk scores for real estate projects along relationship paths.54% similar
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