Available On All Major Platforms
10K+ MULTI-GRAPHS
(TENANTS)
OPEN SOURCE
LINEAR SCALABILITY
ULTRA-LOW LATENCY
GRAPHRAG & AGENT
MEMORY OPTIMIZED
REDIS-BASED
Purpose-built to Your Use Case
AI Retrieval
GraphRAG
Combine LLMs with domain-specific knowledge graphs to reduce hallucinations and enrich AI responses. Enable natural language queries, traceable retrieval logic, and hidden insight discovery for smarter decision-making and faster AI deployment.
Personalized Systems
Agentic AI
Combine graph traversal with vector search to create personalized agentic AI applications. Connect user profiles, preferences, and activities to deliver accurate, explainable recommendations with near real-time adaptability to changing contexts.
Conversational Apps
Chatbots
Build context-aware chatbots by integrating knowledge graphs for entity extraction, fact linking, and relationship mapping. Enable real-time recommendations by correlating user behavior, product data, and session activity for dynamic responses.
Investigations
Fraud Detection
Detect fraud rings by analyzing relationships between entities such as IPs, devices, and transactions. Use real-time graph analytics to uncover anomalies, track patterns across accounts, and adapt dynamically to evolving fraudulent behavior.
Threat Intelligence
Security Graph
Store security data in a flexible, schemaless form and query findings, vulnerabilities, assets, and related entities in near real time. With FalkorDB's scalable infrastructure, cyber and cloud security vendors can support multi-tenant SaaS and on-prem deployments for threat surfacing and analytics.
Graph Database Explained: A Beginner’s Guide for Developers
You have a social network with ten million users, and someone asks: “Show me all friends-of-friends who also attended the same university and work in the same city.” In a relational database, that query joins multiple tables, scans millions of rows, and takes seconds, or minutes. In a graph database,
Three New Graph Database Algorithms in FalkorDB: MaxFlow, Harmonic Centrality, and Programmable UDF Traversal
FalkorDB adds MaxFlow, Harmonic Centrality, and programmable UDF traversal. These three graph database algorithms expand what you can compute, optimize, and automate directly inside the graph layer.
FalkorDB on Snowflake: Cypher vs SQL
Evaluating FalkorDB as a Snowflake Native App for relationship-heavy workloads. Our tests show Cypher’s [:ROUTE*N] pattern simplifies complex pathfinding, maintaining query conciseness and performance where SQL requires escalating self-joins, often leading to timeouts at deeper traversals.
Podcast Recap: Building Real-Time Context for AI Agents
Stop re-indexing entire corpora. This summary explains how CocoIndex and FalkorDB enable real-time, incremental knowledge graph updates for production-grade AI agents.
Compare FalkorDB Across Parameters That Matter.
LATENCY
(Lower is Better)
Superior Latency: 496x faster
MEMORY USAGE
(Lower is Better)
6x Better performance, Lower overall costs
Easily Migrate from Neo4j
Whether your aim is to optimize performance, reduce costs, or leverage FalkorDB’s advanced multi-tenancy features, our documentation will guide you through the steps to take in order to migrate effectively with minimal interruptions.
Join Our Community
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.
Materials to Get You Started
Getting Started with Graphiti and FalkorDB: A Practical Guide
This post is a hands-on walkthrough for developers who want to get up and running with Graphiti and FalkorDB, fast.
VectorRAG vs GraphRAG: Technical Challenges in Enterprise Generative AI
A technical deep-dive comparing VectorRAG vs GraphRAG architectures across 10 critical engineering dimensions, helping AI architects make data-driven decisions for enterprise generative AI implementations.
Vector Database vs Graph Database: Key Technical Differences
Unstructured data is all the data that isn’t organized in a predefined format but is stored in its native form. Due to this lack of
Getting Started with Graphiti and FalkorDB: A Practical Guide
This post is a hands-on walkthrough for developers who want to get up and running with Graphiti and FalkorDB, fast.
VectorRAG vs GraphRAG: Technical Challenges in Enterprise Generative AI
A technical deep-dive comparing VectorRAG vs GraphRAG architectures across 10 critical engineering dimensions, helping AI architects make data-driven decisions for enterprise generative AI implementations.
Stop 'deCyphering' Which
Graph Database is Better.
FalkorDB represents the first queryable property graph database using sparse matrices for adjacency matrix representation and linear algebra for graph queries. It leverages AVX acceleration for performance optimization and eliminates complex batch processing requirements.