--- title: "graphrag-rs vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automataia-graphrag-rs-vs-open-webui-open-webui" tools: ["automataia-graphrag-rs", "open-webui-open-webui"] --- # graphrag-rs vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick graphrag-rs when graphrag-rs is primarily Rust; open-webui is Python; pick open-webui when open-webui is primarily Python; graphrag-rs is Rust. [graphrag-rs](https://automataia.github.io/graphrag-rs/) reports 518 GitHub stars, 47 forks, and 0 open issues, last pushed Jun 2, 2026. [open-webui](https://openwebui.com) has 145k stars, 21k forks, and 391 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [graphrag-rs's repository](https://github.com/automataIA/graphrag-rs) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | 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 languag | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 518 | 145,029 | | Forks | 47 | 21,005 | | Open issues | 0 | 391 | | Language | Rust | Python | | Adopt for | - | Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Inference & Serving, LLM Frameworks, Vector Databases | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphrag-rs](/tools/automataia-graphrag-rs.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 38d | 0d | | Open issues (now) | 0 | 391 | | Owner type | User | Organization | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/automataia-graphrag-rs/trust.md) | [trust report](/tools/open-webui-open-webui/trust.md) | ## Decision facts: open-webui - **Adopt for:** Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI. ## Choose when ### Choose graphrag-rs if… - graphrag-rs is primarily Rust; open-webui is Python. - License: graphrag-rs is MIT, open-webui is Other. - Tags unique to graphrag-rs: embeddings, entity-extraction, graphrag, knowledge-graph. - Also covers Vector Databases. ### Choose open-webui if… - open-webui is primarily Python; graphrag-rs is Rust. - License: open-webui is Other, graphrag-rs is MIT. - Tags unique to open-webui: openai, self-hosted. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ## When NOT to use graphrag-rs - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use open-webui - When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. - If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform. ## Common questions ### What is the difference between graphrag-rs and open-webui? graphrag-rs: 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 languag. open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). See the comparison table for live GitHub stats and shared categories. ### When should I choose graphrag-rs over open-webui? Choose graphrag-rs over open-webui when graphrag-rs is primarily Rust; open-webui is Python; License: graphrag-rs is MIT, open-webui is Other; Tags unique to graphrag-rs: embeddings, entity-extraction, graphrag, knowledge-graph; Also covers Vector Databases. ### When should I choose open-webui over graphrag-rs? Choose open-webui over graphrag-rs when open-webui is primarily Python; graphrag-rs is Rust; License: open-webui is Other, graphrag-rs is MIT; Tags unique to open-webui: openai, self-hosted; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### When should I avoid graphrag-rs? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid open-webui? When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform. ### Is graphrag-rs or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 518). Stars measure visibility, not whether either tool fits your constraints. ### Are graphrag-rs and open-webui open source? Yes - both are open-source projects on GitHub (graphrag-rs: MIT, open-webui: Other). ### Where can I find alternatives to graphrag-rs or open-webui? GraphCanon lists graph-backed alternatives at [graphrag-rs alternatives](/tools/automataia-graphrag-rs/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([graphrag-rs markdown twin](/tools/automataia-graphrag-rs/alternatives.md), [open-webui markdown twin](/tools/open-webui-open-webui/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-open-webui-open-webui.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphrag-rs or open-webui? graphrag-rs: Steady. open-webui: 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 open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphrag-rs trust report](/tools/automataia-graphrag-rs/trust); [open-webui trust report](/tools/open-webui-open-webui/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/_