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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.
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:
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).
FalkorDB Php Client, with full clustering support, up to date API support (temporal data types, UDF and more)
FalkorDB-MCPServer is an MCP (Model Context Protocol) server that connects LLMs to FalkorDB
A benchmarking tool to evaluate and compare the performance of graph databases with customizable workloads and metrics.
An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.
A Python utility for building FalkorDB databases from CSV inputs
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