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FalkorDB · The knowledge graph database
FalkorDB's GraphRAG-SDK is a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. Go to production in weeks, not months.
Memory requirements for a graph database can be estimated based on nodes, edges, and properties.
FalkorDB is a graph database optimized for live, high-throughput cybersecurity workloads.
In a 1,203-question test, a company brain on FalkorDB scored 80.0 vs 39.2 for retrieval with the same model. Here is how Graph Hacks teams built one.
647 developers signed up to fix tech conferences in one day, and 50 teams built a conference knowledge graph on FalkorDB. See the best projects.
Entity resolution in GraphRAG-SDK merges duplicate entities across documents with an LLM judge. 99% of checked merges correct on graphs up to 50,000 entities.
The FalkorDB blog provides insights, updates, and tips on database solutions and trends.
GraphRAG ensures accurate data retrieval, which is critical for LLM inference accuracy, performance, and secure AI memory storage.
FalkorDB Browser's April 2026 release adds Favorite Queries, Connection Endpoint, Graph Stats, and Table View options, streamlining GraphRAG workflows for LLMs and AI agents.
FalkorDB secures graph database distribution partnership with Datax Solution FZC to deliver GraphRAG, real-time analytics & AI capabilities across Middle East.
FalkorDB v4.14.10 cuts memory 30% with dual-mode storage, batch processing for writes, and auto-shrink for deletions in graph databases.
Free plans include multi-graph and multi-tenancy; paid tiers add TLS, automated backups, clustering, high availability, and 24/7 enterprise support.
FalkorDB’s Startup Program helps entrepreneurs integrate graphs into products to enhance scalability and sales.
FalkorDB vs AWS Neptune: open-source not proprietary, in-memory not on-disk, native Cypher with vector search, true multi-tenancy, and on-prem deployment.
FalkorDB vs Neo4j: 496x lower P99 latency and 6x lower memory use. Open source, in-memory, built in C and Rust, with multi-tenancy on every plan.
Compare FalkorDB vs Neo4j graph databases for AI applications. Understand performance, scalability, and integration.
FalkorDB vs TigerGraph for AI workloads: compare architecture, GraphRAG support, latency, pricing, and deployment to pick the best graph database.
FalkorDB's graph database is designed for development teams managing structured and unstructured interconnected data in real-time or interactive environments.
FalkorDB offers tailored database solutions and support for data management challenges.
Cloud resources and advanced capabilities support complex graph-based AI applications.
FalkorDB is an open source graph database for AI agents and GraphRAG. Multi-tenant, OpenCypher compatible, built for real-time queries. Free to start.
The Privacy Policy explains data collection, usage, and privacy rights for FalkorDB’s service.
