--- title: "Lumos vs rag-web-ui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andrewnguonly-lumos-vs-rag-web-ui-rag-web-ui" tools: ["andrewnguonly-lumos", "rag-web-ui-rag-web-ui"] --- # Lumos vs rag-web-ui *GraphCanon updated Sep 20, 2026* ## Verdict Pick Lumos if lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation; pick rag-web-ui if rAG Web UI is an open-source dialogue system grounded in RAG technology, built with TypeScript under Apache-2.0 license, focusing on data retrieval and evaluation. [Lumos](https://github.com/andrewnguonly/Lumos) reports 1.5k GitHub stars, 111 forks, and 24 open issues, last pushed Jan 26, 2025. [rag-web-ui](https://github.com/rag-web-ui/rag-web-ui) has 3.3k stars, 369 forks, and 21 open issues, last pushed Apr 6, 2026. Figures are from public GitHub metadata via [Lumos's repository](https://github.com/andrewnguonly/Lumos) and [rag-web-ui's repository](https://github.com/rag-web-ui/rag-web-ui). | | [Lumos](/tools/andrewnguonly-lumos.md) | [rag-web-ui](/tools/rag-web-ui-rag-web-ui.md) | | --- | --- | --- | | Tagline | A RAG LLM co-pilot for browsing the web | An intelligent dialogue system based on RAG technology | | Stars | 1,513 | 3,292 | | Forks | 111 | 369 | | Open issues | 24 | 21 | | Language | TypeScript | TypeScript | | Adopt for | Lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation. | RAG Web UI is an open-source dialogue system grounded in RAG technology, built with TypeScript under Apache-2.0 license, focusing on data retrieval and evaluation. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Lumos](/tools/andrewnguonly-lumos.md) | [rag-web-ui](/tools/rag-web-ui-rag-web-ui.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 601d | 166d | | Open issues (now) | 24 | 21 | | Stars delta | -3 (30d) | +32 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/andrewnguonly-lumos/trust.md) | [trust report](/tools/rag-web-ui-rag-web-ui/trust.md) | ## Decision facts: Lumos - **Requirements:** Ensure that your environment supports Docker to run the Ollama server as required for Lumos operation.; Your development workflow should be prepared to integrate a Chrome extension, considering you need to load unpacked extensions into Chrome. - **Adopt for:** Lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation. - **License detail:** MIT ## Decision facts: rag-web-ui - **Adopt for:** RAG Web UI is an open-source dialogue system grounded in RAG technology, built with TypeScript under Apache-2.0 license, focusing on data retrieval and evaluation. ## Choose when ### Choose Lumos if… - License: Lumos is MIT, rag-web-ui is Apache-2.0. - Requirements: Ensure that your environment supports Docker to run the Ollama server as required for Lumos operation.; Your development workflow should be prepared to integrate a Chrome extension, considering you need to load unpacked extensions into Chrome.. - Tags unique to Lumos: chrome-extension, langchain-js, llm, react. - Also covers LLM Frameworks. - Use Lumos when your task involves heavy web navigation and requires interaction with the latest local machine learning models directly from a browser. ### Choose rag-web-ui if… - License: rag-web-ui is Apache-2.0, Lumos is MIT. - Tags unique to rag-web-ui: ai, deepseek, rag. - Also covers Evaluation & Observability. - rag-web-ui ships Docker support for self-hosted deployment. - For projects needing real-time interactive AI capabilities backed by a strong emphasis on data retrieval accuracy. ## When NOT to use Lumos - Avoid using Lumos when your primary task does not involve browsing the web or requires a standalone application interface that does not need browser augmentation. - Do not use this tool if you are looking for support in languages other than TypeScript, as it is specifically built around this language. ## When NOT to use rag-web-ui - Avoid if your project mandates minimal configuration steps, as it involves setting up environment variables and running Docker services. - Not suitable for teams strictly preferring languages other than TypeScript for their development flow. ## Common questions ### What is the difference between Lumos and rag-web-ui? Lumos: A RAG LLM co-pilot for browsing the web. rag-web-ui: An intelligent dialogue system based on RAG technology. See the comparison table for live GitHub stats and shared categories. ### When should I choose Lumos over rag-web-ui? Choose Lumos over rag-web-ui when License: Lumos is MIT, rag-web-ui is Apache-2.0; Requirements: Ensure that your environment supports Docker to run the Ollama server as required for Lumos operation.; Your development workflow should be prepared to integrate a Chrome extension, considering you need to load unpacked extensions into Chrome.; Tags unique to Lumos: chrome-extension, langchain-js, llm, react; Also covers LLM Frameworks; Use Lumos when your task involves heavy web navigation and requires interaction with the latest local machine learning models directly from a browser. ### When should I choose rag-web-ui over Lumos? Choose rag-web-ui over Lumos when License: rag-web-ui is Apache-2.0, Lumos is MIT; Tags unique to rag-web-ui: ai, deepseek, rag; Also covers Evaluation & Observability; rag-web-ui ships Docker support for self-hosted deployment; For projects needing real-time interactive AI capabilities backed by a strong emphasis on data retrieval accuracy. ### When should I avoid Lumos? Avoid using Lumos when your primary task does not involve browsing the web or requires a standalone application interface that does not need browser augmentation. Do not use this tool if you are looking for support in languages other than TypeScript, as it is specifically built around this language. ### When should I avoid rag-web-ui? Avoid if your project mandates minimal configuration steps, as it involves setting up environment variables and running Docker services. Not suitable for teams strictly preferring languages other than TypeScript for their development flow. ### Is Lumos or rag-web-ui more popular on GitHub? rag-web-ui has more GitHub stars (3,292 vs 1,513). Stars measure visibility, not whether either tool fits your constraints. ### Are Lumos and rag-web-ui open source? Yes - both are open-source projects on GitHub (Lumos: MIT, rag-web-ui: Apache-2.0). ### Where can I find alternatives to Lumos or rag-web-ui? GraphCanon lists graph-backed alternatives at [Lumos alternatives](/tools/andrewnguonly-lumos/alternatives) and [rag-web-ui alternatives](/tools/rag-web-ui-rag-web-ui/alternatives) ([Lumos markdown twin](/tools/andrewnguonly-lumos/alternatives.md), [rag-web-ui markdown twin](/tools/rag-web-ui-rag-web-ui/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/andrewnguonly-lumos-vs-rag-web-ui-rag-web-ui.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Lumos or rag-web-ui? Lumos: Dormant. rag-web-ui: Slowing. 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 Lumos and rag-web-ui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Lumos trust report](/tools/andrewnguonly-lumos/trust); [rag-web-ui trust report](/tools/rag-web-ui-rag-web-ui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=andrewnguonly-lumos`](/api/graphcanon/graph?tool=andrewnguonly-lumos) - 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/_