FalkorDB
Ultra-fast graph database for GenAI
Tel Aviv, Israel
Founded 2023
FalkorDB is an ultra-fast, multi-tenant graph database built for generative AI applications, including GraphRAG, agentic AI, and fraud detection. It is the first queryable property graph database to use sparse matrices for adjacency matrix representation and linear algebra for graph queries, enabling exceptionally low latency and high scalability for knowledge graph workloads.
Websites:
Last Updated: March 14, 2026
Current Valuation
$18M
as of June 30, 2024 (Source)
Funding Summary
$3M
Total reported funding
Media Mention
June 5, 2026
LinkedIn: Most teams run 2023 infra under 2026 workloads
Media Mention
May 20, 2026
DEV Community: How FalkorDB Stores Edges: Why Neighbor Lookup Is O(degree) - DEV Community
OSS News & Views
April 29, 2026
DEV Community: I built a GraphRAG demo with FalkorDB’s new SDK, then benchmarked it against Neo4j
Announcement
April 29, 2026
openPR: FalkorDB Ships GraphRAG SDK 1.0 - Ranks #1 on GraphRAG-Bench Across All Four Task Types
Announcement
April 22, 2026
blockchain.news: QueryWeaver Launch: Latest Graph-RAG Query Optimizer for LLM Apps on FalkorDB GitHub
Showing 1-5 of 8 headlines
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Key People
Core OSS Projects
A super fast graph database using GraphBLAS for sparse adjacency matrix representation and linear algebra for graph queries, optimized for knowledge graphs and GraphRAG.
License: SSPL-1.0
Business Information
Category
Graph DatabaseTechnologies
RAGVector SearchDatabase as a ServiceKnowledge Graph
Sectors
Enterprise
Licenses
SSPL-1.0
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Socials and Communities
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