FalkorDB 4.0 Beta released – Major improvements and Critical bug fixes!

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We’re excited to announce that FalkorDB 4.0 Beta is now available for download and testing. FalkorDB is a graph database that builds on the legacy of RedisGraph, which was discontinued by Redis a few months ago. FalkorDB aims to provide a fast, scalable and reliable graph solution for your data needs.

Docker container: docker run -it -p 6379:6379 -p 7687:7687 falkordb/falkordb:v4.0.1

 

Try it on

FalkorDB 4.0.0 first beta introduces some major features and enhancements over RedisGraph:

 

Some of the notable critical bug fixes:

We encourage all RedisGraph users to test FalkorDB 4.0 as soon as possible, as we plan to fix more critical bugs and release the final version of FalkorDB 4.0 soon. 

We hope you enjoy using FalkorDB 4.0 beta and we welcome your feedback and suggestions. Please feel free to contact us on Discord or GitHub issues/discussions if you have any questions.

Build fast and accurate GenAI apps with GraphRAG-SDK at scale

FalkorDB offers an accurate, multi-tenant RAG solution based on our low-latency, scalable graph database technology. It’s ideal for highly technical teams that handle complex, interconnected data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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Avi Tel-Or

CTO at Intel Ignite Tel-Aviv

I enjoy using FalkorDB in the GraphRAG solution I'm working on.

As a developer, using graphs also gives me better visibility into what the algorithm does, when it fails, and how it could be improved. Doing that with similarity scoring is much less intuitive.

Dec 2, 2024

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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