x500 Faster than Neo4j

Scalable Graph Database for GenAI & GraphRAG

Multi-tenant graph database for LLMs, offering low-latency, efficient GraphRAG, and clustering on GCP/AWS. Supports OpenCypher for cost-effective, familiar development.

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Run on Cloud

Deploy FalkorDB on the cloud for scalable, high-performance data processing. Get instant access to cloud resources and advanced capabilities to handle complex graph-based AI applications with ease.

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To learn more about how to get started see FalkorDB documentation

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Run via Docker

Easily deploy FalkorDB in any environment with Docker for streamlined setup and management. Perfect for developers who need a flexible, containerized solution that integrates smoothly into existing workflows.

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Download Docker here

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					docker run -p 6379:6379 -p 3000:3000 -it --rm falkordb falkordb:edge
				
			
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Unparalleled Performance

FalkorDB⁠ is the first queryable Property Graph⁠ database to use sparse matrices⁠ to represent the adjacency matrix⁠ in graphs and linear algebra⁠ to query the graph. It leverages AVX (Advanced Vector Extensions) to accelerate performance and eliminating the need for complex batch processing jobs.

Join Our Community & Explore Our Documentation

Engage with our community on GitHub for feedback and collaboration opportunities. Our comprehensive documentation covers everything from basic setup to advanced configurations, ensuring a smooth integration with your existing data architecture.

Supporting Ecosystem of Tools

GraphRAG-SDK

Simplifies creating GraphRAG systems, integrates with FalkorDB and LLMs like GPT and Gemini, and aids in building knowledge graphs and querying with Cypher.

FalkorDB-Browser

Visualizes and manages graph data in FalkorDB, allowing users to navigate nodes and edges interactively, ideal for understanding and monitoring data changes.

CodeGraph

Turns a codebase into a knowledge graph, visualizing relationships between entities like classes and functions, helping analyze dependencies, detect bottlenecks, and optimize projects.