Stop re-indexing entire corpora. This summary explains how CocoIndex and FalkorDB enable real-time, incremental knowledge graph updates for production-grade AI agents.
New FalkorDB browser features let developers save frequent queries, copy connection strings for any architecture, see node and edge stats instantly, and customize result tables—cutting friction in GraphRAG development.
The FalkorDB webinar demonstrates graph algorithms for cybersecurity: ransomware spread simulation, Log4Shell dependency tracing, and max-flow data leakage analysis, showing practical UDF and flow network applications.
The FalkorDB canvas web component lets you take canvas data and embed the default browser canvas as a standalone component in your own UI.
Choosing the best database for knowledge graphs determines your AI stack’s performance ceiling. We compare FalkorDB, Neo4j, ArangoDB, Neptune, and JanusGraph—analyzing latency, GraphRAG readiness, and operational overhead.
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.