--- title: "graphrag-rs vs HippoRAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automataia-graphrag-rs-vs-osu-nlp-group-hipporag" tools: ["automataia-graphrag-rs", "osu-nlp-group-hipporag"] --- # graphrag-rs vs HippoRAG *GraphCanon updated Aug 23, 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 HippoRAG if hippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents. [graphrag-rs](https://automataia.github.io/graphrag-rs/) reports 526 GitHub stars, 50 forks, and 0 open issues, last pushed Jun 2, 2026. [HippoRAG](https://arxiv.org/abs/2405.14831) has 3.9k stars, 416 forks, and 7 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [graphrag-rs's repository](https://github.com/automataIA/graphrag-rs) and [HippoRAG's repository](https://github.com/OSU-NLP-Group/HippoRAG). | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | | --- | --- | --- | | Tagline | GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration. | HippoRAG is a RAG framework enabling LLMs to continuously integrate knowledge from external documents. | | Stars | 526 | 3,902 | | Forks | 50 | 416 | | Open issues | 0 | 7 | | 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. | HippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, LLM Frameworks | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 81d | 3d | | Open issues (now) | 0 | 7 | | Stars delta | +4 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/automataia-graphrag-rs/trust.md) | [trust report](/tools/osu-nlp-group-hipporag/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: HippoRAG - **Adopt for:** HippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents. ## Choose when ### Choose graphrag-rs if… - graphrag-rs is primarily Rust; HippoRAG is Python. - Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag. - Also covers Data & Retrieval. - Need Rust-based implementation for integration into existing Rust projects ### Choose HippoRAG if… - HippoRAG is primarily Python; graphrag-rs is Rust. - Tags unique to HippoRAG: knowledge graphs, knowledge integration, language-models, personalized pagerank. - Also covers Model Training. - When integrating human-like long-term memory capabilities into LLM models to handle vast amounts of external knowledge ## 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 HippoRAG - If your application does not require continuous integration of external documents or personalized information retrieval - For simpler applications where standard RAG frameworks without KG Personalized PageRank suffice for performance requirements ## Common questions ### What is the difference between graphrag-rs and HippoRAG? graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. HippoRAG: HippoRAG is a RAG framework enabling LLMs to continuously integrate knowledge from external documents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose graphrag-rs over HippoRAG? Choose graphrag-rs over HippoRAG when graphrag-rs is primarily Rust; HippoRAG is Python; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Also covers Data & Retrieval; Need Rust-based implementation for integration into existing Rust projects. ### When should I choose HippoRAG over graphrag-rs? Choose HippoRAG over graphrag-rs when HippoRAG is primarily Python; graphrag-rs is Rust; Tags unique to HippoRAG: knowledge graphs, knowledge integration, language-models, personalized pagerank; Also covers Model Training; When integrating human-like long-term memory capabilities into LLM models to handle vast amounts of external knowledge. ### 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 HippoRAG? If your application does not require continuous integration of external documents or personalized information retrieval For simpler applications where standard RAG frameworks without KG Personalized PageRank suffice for performance requirements ### Is graphrag-rs or HippoRAG more popular on GitHub? HippoRAG has more GitHub stars (3,902 vs 526). Stars measure visibility, not whether either tool fits your constraints. ### Are graphrag-rs and HippoRAG open source? Yes - both are open-source projects on GitHub (graphrag-rs: MIT, HippoRAG: MIT). ### Where can I find alternatives to graphrag-rs or HippoRAG? GraphCanon lists graph-backed alternatives at [graphrag-rs alternatives](/tools/automataia-graphrag-rs/alternatives) and [HippoRAG alternatives](/tools/osu-nlp-group-hipporag/alternatives) ([graphrag-rs markdown twin](/tools/automataia-graphrag-rs/alternatives.md), [HippoRAG markdown twin](/tools/osu-nlp-group-hipporag/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-osu-nlp-group-hipporag.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphrag-rs or HippoRAG? graphrag-rs: Steady. HippoRAG: 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 HippoRAG? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphrag-rs trust report](/tools/automataia-graphrag-rs/trust); [HippoRAG trust report](/tools/osu-nlp-group-hipporag/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/_