FalkorDB partners with Datax Solution FZC as Middle East distributor, extending access to low-latency graph database built for GraphRAG, AI workloads & real-time analytics across the region.
Connect your FalkorDB knowledge graph to N8N to take full advantage of your graph database. In a vector database, you’re searching for similarity. Sometimes the “most similar” document isn’t actually what you need. In a graph database, you’re traversing explicit relationships. Either a parameter belongs to an endpoint, or it doesn’t. There’s no guessing.
FalkorDB has been selected as one of three finalists for the Cyber Startup Challenge 2025, competing for a CHF 100,000 contract to integrate graph database technology into Swiss cyber defense.
FalkorDB’s new LangChain JS/TS package lets users query graph data with natural language. The integration auto-generates Cypher queries and returns plain language responses.
Rewatch FalkorDB’s ‘Implementing Agentic Memory’ workshop with Graphiti and QueryWeaver, and read the questions and answers from the session.
G.V() 3.38.90 brings full FalkorDB support, letting AI developers connect their LLM-optimized graph database for instant visualization. Perfect for agentic AI applications and advanced chatbots.
Zep founder Daniel Chalef joins FalkorDB, details Graphiti, a graph framework for real-time LLM memory and RAG. It handles dynamic data better than vector search.
This maintenance and enhancement release delivers significant performance improvements for parameter-heavy operations and strengthens operational reliability across cloud deployments.
FalkorDB achieves SOC 2 Type II certification, demonstrating enterprise-grade security controls for multi-tenant graph database operations and mission-critical applications.
Knowledge graphs represent complex relationships as nodes and edges. This workshop demonstrated practical implementations through two systems: VCPedia for venture capital data extraction and Fractal KG for self-organizing graph structures.