FalkorDB Introduction
FalkorDB is an innovative graph database designed to provide the fastest route to knowledge. With its ultra-low latency and optimization for Knowledge Graphs, FalkorDB effectively overcomes existing limitations of RAG for GenAI & Large Language Models (LLM). The recent release of FalkorDB 4.0 marks a significant milestone in the evolution of graph databases.
FalkorDB Features
Core Features
- Ultra-Low Latency: FalkorDB is built for speed, ensuring quick access to your knowledge graph.
- Optimized for Knowledge Graphs: Designed specifically for GraphRAG, FalkorDB enhances the performance of knowledge graphs.
- High-Dimensional Data Storage: Capable of storing complex, high-dimensional data sets.
- Docker Support: Easy deployment with Docker, using the command
docker run -p 6379:6379 -p 3000:3000 falkordb/falkordb.
Performance Without Compromise
FalkorDB is engineered from the ground up to deliver unmatched performance. It is positioned as the future of graph databases and the rightful successor to RedisGraph.
Use Cases
- Medical and Clinical Patient Data: Matthew Goos, CTO of AdaptX, discusses how FalkorDB serves as a core component in managing medical and clinical patient data.
- Central Knowledge Graph: Chris Patton, Head of Product at VirtuousAI, shares plans to integrate FalkorDB as a key element in their solution.
FalkorDB in Action
Online Clients and Happy Customers
FalkorDB boasts a growing number of online clients and satisfied customers, with numbers reaching into the thousands.
Meet the Team
The team behind FalkorDB includes industry experts and innovators:
- Roi Lipman: CTO & Co-Founder
- Guy Korland: CEO & Co-Founder
- Avi Avni: Chief Architect & Co-Founder
FalkorDB FAQs
What is FalkorDB?
FalkorDB is a graph database that offers the fastest way to access your knowledge. It is designed to work seamlessly with GraphRAG and Large Language Models (LLM).
How does FalkorDB compare to vector databases?
FalkorDB outperforms vector databases in providing accurate external knowledge, making it a superior choice for applications that require a knowledge graph.
What are some of the new features in FalkorDB 4.0?
The latest release, FalkorDB 4.0, includes major improvements and critical bug fixes. It also introduces new features like the ability to easily clone graphs, enhancing its utility in various applications.
Can FalkorDB be used in building a Q&A system?
Yes, FalkorDB can be used to build a Q&A system. Its ability to create and query knowledge graphs makes it an ideal choice for such applications.
How can I get started with FalkorDB?
You can get started with FalkorDB by running it with Docker using the provided command. Additionally, you can explore the documentation and reach out to the team for any questions about Graph Database & Analytics.
Additional Resources
Blog Posts
- Knowledge graph vs vector database: Explore the differences and decide which one is right for your needs.
- GraphRAG and Knowledge Graphs for Large Language Models: Learn about the integration of LLMs with Knowledge Graphs.
- Efficient State Machine Modeling Using FalkorDB: Discover how to use FalkorDB for state machine modeling.
Trusted By
FalkorDB is trusted by leading companies and organizations in the industry.
