GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM
Create knowledge graphs from documents and ask questions in natural language using a fast Rust tool.
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Free · no card · unsubscribe anytimeGraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM
graphrag-rs has 519 stars on GitHub. It has been forked 47 times. graphrag-rs is written mainly in Rust. It has been in active development since 2025. graphrag-rs is available under the MIT license. Its main topics are ai, embeddings, entity-extraction, graphrag.
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM
graphrag-rs is an open-source project. It is released under the MIT license.
Yes. graphrag-rs is free and open source — you can use, modify and self-host it.
graphrag-rs is available under the MIT license.
graphrag-rs is written mainly in Rust.
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