Try FalkorDB's
Graph Database
Run on Cloud
Get instant access to cloud resources and advanced capabilities to handle complex graph-based AI applications with ease.
Enhance your project with powerful frameworks and integrations
Graphiti (by ZEP)
A Python framework for building temporally-aware, multi-tenant live knowledge graph designed for multi-agent AI systems with memory.
g.v()
All-in-one graph database client to write, debug, test and analyze results for your property-graph database.
Cognee
Cognee’s mapping of knowledge graphs uncovers hidden connections, delivering highly relevant responses for LLM-based applications.
LangChain
Use LLMs to provide a natural language interface to FalkorDB database. Create AI agents with memory, enhancing their ability to retain state and context across interactions.
LlamaIndex
Configure FalkorDB to be the backend for graph storage in LlamaIndex.
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.