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FalkorDB

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

★ 1.8 average rating

Free • Open SourceLinuxSoftware as a Service SaaSBy FalkorDB

About FalkorDB

Our objective is to create an outstanding Knowledge Graph specifically for Large Language Models (LLM) that boasts exceptionally low latency, ensuring swift delivery of information through our Graph Database, known as KG-RAG. FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph. Primary features: Adopting the Property Graph Model Nodes (vertices) and Relationships (edges) that may have attributes Nodes can have multiple labels Relationships have a relationship type Graphs represented as sparse adjacency matrices OpenCypher with proprietary extensions as a query language Queries are translated into linear algebra expressions

Key Features

  • ✓Graph database
  • ✓Database as a Service

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Frequently asked questions

What is FalkorDB?

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG). It is listed under the Free • Open Source license model in the SaaS Lenz directory.

Is FalkorDB free to use?

FalkorDB is listed as Free • Open Source in our directory. Pricing and plan details can change, so check the official website for current terms before committing.

What platforms does FalkorDB run on?

FalkorDB is available on Linux, Software as a Service SaaS, so you can use it across the devices your team already works with.

Who develops FalkorDB?

FalkorDB is developed by FalkorDB. You can find more background and documentation on the product's official website.

What are the best alternatives to FalkorDB?

Popular alternatives to FalkorDB include Amazon Neptune, nebula graph. Compare their features, license models, and platforms on the SaaS Lenz alternatives page.