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@FalkorDB

FalkorDB

The fastest way to your knowledge

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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 739 32

  2. falkordb-browser falkordb-browser Public

    FalkorDB-Browser is a visualization UI for FalkorDB.

    TypeScript 20 7

  3. falkordb-py falkordb-py Public

    FalkorDB Python Client

    Python 11 3

  4. JFalkorDB JFalkorDB Public

    Java API for FalkorDB

    Java 11 3

  5. falkordb-ts falkordb-ts Public

    FalkorDB Typescript Client

    TypeScript 6

  6. GraphRAG-SDK GraphRAG-SDK Public

    Facilitate the creation of graph-based Retrieval-Augmented Generation (RAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.

    Python 138 13

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