--- title: "graphrag-rs vs graphrag" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automataia-graphrag-rs-vs-microsoft-graphrag" tools: ["automataia-graphrag-rs", "microsoft-graphrag"] --- # graphrag-rs vs graphrag *GraphCanon updated Aug 16, 2026* ## Verdict Pick graphrag-rs if graphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust; pick graphrag if graphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures. [graphrag-rs](https://automataia.github.io/graphrag-rs/) reports 522 GitHub stars, 48 forks, and 0 open issues, last pushed Jun 2, 2026. [graphrag](https://microsoft.github.io/graphrag/) has 36k stars, 3.7k forks, and 46 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [graphrag-rs's repository](https://github.com/automataIA/graphrag-rs) and [graphrag's repository](https://github.com/microsoft/graphrag). | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [graphrag](/tools/microsoft-graphrag.md) | | --- | --- | --- | | Tagline | GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration. | A modular graph-based Retrieval-Augmented Generation (RAG) system | | Stars | 522 | 35,519 | | Forks | 48 | 3,734 | | Open issues | 0 | 46 | | Language | Rust | Python | | Adopt for | GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. | GraphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [graphrag](/tools/microsoft-graphrag.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 50d | 1d | | Open issues (now) | 0 | 46 | | Stars delta | Unknown | +1.0k (30d) | | Open issues delta | Unknown | -15 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/automataia-graphrag-rs/trust.md) | [trust report](/tools/microsoft-graphrag/trust.md) | ## Decision facts: graphrag-rs - **Adopt for:** GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. ## Decision facts: graphrag - **Adopt for:** GraphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures. ## Choose when ### Choose graphrag-rs if… - graphrag-rs is primarily Rust; graphrag is Python. - Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag. - Need Rust-based implementation for integration into existing Rust projects ### Choose graphrag if… - graphrag is primarily Python; graphrag-rs is Rust. - Tags unique to graphrag: gpt, gpt-4, graph, rag. - When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup. ## When NOT to use graphrag-rs - Seeking solutions that offer cloud-hosted machine learning services directly - Projects that demand Python libraries due to ecosystem dependencies ## When NOT to use graphrag - If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by ## Common questions ### What is the difference between graphrag-rs and graphrag? graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. See the comparison table for live GitHub stats and shared categories. ### When should I choose graphrag-rs over graphrag? Choose graphrag-rs over graphrag when graphrag-rs is primarily Rust; graphrag is Python; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Need Rust-based implementation for integration into existing Rust projects. ### When should I choose graphrag over graphrag-rs? Choose graphrag over graphrag-rs when graphrag is primarily Python; graphrag-rs is Rust; Tags unique to graphrag: gpt, gpt-4, graph, rag; When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup. ### When should I avoid graphrag-rs? Seeking solutions that offer cloud-hosted machine learning services directly Projects that demand Python libraries due to ecosystem dependencies ### When should I avoid graphrag? If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by ### Is graphrag-rs or graphrag more popular on GitHub? graphrag has more GitHub stars (35,519 vs 522). Stars measure visibility, not whether either tool fits your constraints. ### Are graphrag-rs and graphrag open source? Yes - both are open-source projects on GitHub (graphrag-rs: MIT, graphrag: MIT). ### Where can I find alternatives to graphrag-rs or graphrag? GraphCanon lists graph-backed alternatives at [graphrag-rs alternatives](/tools/automataia-graphrag-rs/alternatives) and [graphrag alternatives](/tools/microsoft-graphrag/alternatives) ([graphrag-rs markdown twin](/tools/automataia-graphrag-rs/alternatives.md), [graphrag markdown twin](/tools/microsoft-graphrag/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/automataia-graphrag-rs-vs-microsoft-graphrag.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphrag-rs or graphrag? graphrag-rs: Steady. graphrag: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for graphrag-rs and graphrag? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphrag-rs trust report](/tools/automataia-graphrag-rs/trust); [graphrag trust report](/tools/microsoft-graphrag/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=automataia-graphrag-rs`](/api/graphcanon/graph?tool=automataia-graphrag-rs) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_