--- title: "graphrag-rs vs omnigraph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automataia-graphrag-rs-vs-modernrelay-omnigraph" tools: ["automataia-graphrag-rs", "modernrelay-omnigraph"] --- # graphrag-rs vs omnigraph *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 omnigraph if omnigraph is a Rust-based Lakehouse-native graph engine that integrates Git-style workflows for managing knowledge graphs leveraging modern data technologies such as Apache Arrow and DataFusion. [graphrag-rs](https://automataia.github.io/graphrag-rs/) reports 526 GitHub stars, 50 forks, and 0 open issues, last pushed Jun 2, 2026. [omnigraph](https://omnigraph.dev) has 1.0k stars, 190 forks, and 17 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [graphrag-rs's repository](https://github.com/automataIA/graphrag-rs) and [omnigraph's repository](https://github.com/ModernRelay/omnigraph). | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [omnigraph](/tools/modernrelay-omnigraph.md) | | --- | --- | --- | | Tagline | GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration. | Lakehouse native graph engine with git-style workflows | | Stars | 526 | 1,040 | | Forks | 50 | 190 | | Open issues | 0 | 17 | | Language | Rust | Rust | | Adopt for | GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. | Omnigraph is a Rust-based Lakehouse-native graph engine that integrates Git-style workflows for managing knowledge graphs leveraging modern data technologies such as Apache Arrow and DataFusion. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [omnigraph](/tools/modernrelay-omnigraph.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 81d | 0d | | Open issues (now) | 0 | 17 | | 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/modernrelay-omnigraph/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: omnigraph - **Adopt for:** Omnigraph is a Rust-based Lakehouse-native graph engine that integrates Git-style workflows for managing knowledge graphs leveraging modern data technologies such as Apache Arrow and DataFusion. ## Choose when ### Choose graphrag-rs if… - Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag. - Also covers LLM Frameworks. - Need Rust-based implementation for integration into existing Rust projects ### Choose omnigraph if… - Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database. - omnigraph ships Docker support for self-hosted deployment. - Use Omnigraph if your project involves complex knowledge graph management within a lakehouse architecture, as it offers native integration to facilitate efficient handling of large datasets. ## 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 omnigraph - Avoid Omnigraph if you prefer or need a Java-based solution, as it might not align with the runtime requirements of your existing technology stack. - Omnigraph may not be suitable for simple or small-scale graph projects that do not require advanced versioning and collaboration features akin to Git workflows. ## Common questions ### What is the difference between graphrag-rs and omnigraph? graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. omnigraph: Lakehouse native graph engine with git-style workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose graphrag-rs over omnigraph? Choose graphrag-rs over omnigraph when Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Also covers LLM Frameworks; Need Rust-based implementation for integration into existing Rust projects. ### When should I choose omnigraph over graphrag-rs? Choose omnigraph over graphrag-rs when Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database; omnigraph ships Docker support for self-hosted deployment; Use Omnigraph if your project involves complex knowledge graph management within a lakehouse architecture, as it offers native integration to facilitate efficient handling of large datasets. ### 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 omnigraph? Avoid Omnigraph if you prefer or need a Java-based solution, as it might not align with the runtime requirements of your existing technology stack. Omnigraph may not be suitable for simple or small-scale graph projects that do not require advanced versioning and collaboration features akin to Git workflows. ### Is graphrag-rs or omnigraph more popular on GitHub? omnigraph has more GitHub stars (1,040 vs 526). Stars measure visibility, not whether either tool fits your constraints. ### Are graphrag-rs and omnigraph open source? Yes - both are open-source projects on GitHub (graphrag-rs: MIT, omnigraph: MIT). ### Where can I find alternatives to graphrag-rs or omnigraph? GraphCanon lists graph-backed alternatives at [graphrag-rs alternatives](/tools/automataia-graphrag-rs/alternatives) and [omnigraph alternatives](/tools/modernrelay-omnigraph/alternatives) ([graphrag-rs markdown twin](/tools/automataia-graphrag-rs/alternatives.md), [omnigraph markdown twin](/tools/modernrelay-omnigraph/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-modernrelay-omnigraph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphrag-rs or omnigraph? graphrag-rs: Steady. omnigraph: 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 omnigraph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphrag-rs trust report](/tools/automataia-graphrag-rs/trust); [omnigraph trust report](/tools/modernrelay-omnigraph/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/_