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FalkorDB

The fastest way to your knowledge

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 GraphRAG.

FalkorBD 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

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  1. FalkorDB FalkorDB Public

    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).

    C 3.7k 296

  2. falkordb-ts falkordb-ts Public

    FalkorDB Typescript Client

    TypeScript 42 7

  3. falkordb-py falkordb-py Public

    FalkorDB Python Client

    Python 52 7

  4. JFalkorDB JFalkorDB Public

    Java API for FalkorDB

    Java 17 7

  5. falkordb-browser falkordb-browser Public

    FalkorDB-Browser is a visualization UI for FalkorDB.

    TypeScript 97 22

  6. GraphRAG-SDK GraphRAG-SDK Public

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

    Python 584 75

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