--- title: "ragflow vs Yuxi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/infiniflow-ragflow-vs-xerrors-yuxi" tools: ["infiniflow-ragflow", "xerrors-yuxi"] --- # ragflow vs Yuxi *GraphCanon updated Aug 18, 2026* ## Verdict Pick ragflow if rAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license; pick Yuxi if yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI. [ragflow](https://ragflow.io) reports 87k GitHub stars, 10k forks, and 2.0k open issues, last pushed Jul 31, 2026. [Yuxi](https://xerrors.github.io/Yuxi/) has 6.5k stars, 965 forks, and 81 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [ragflow's repository](https://github.com/infiniflow/ragflow) and [Yuxi's repository](https://github.com/xerrors/Yuxi). | | [ragflow](/tools/infiniflow-ragflow.md) | [Yuxi](/tools/xerrors-yuxi.md) | | --- | --- | --- | | Tagline | Retrieval-Augmented Generation engine with agent capabilities | A multi-tenant Agent Harness platform integrating knowledge base and knowledge graphs with LangChain + Vue + FastAPI. | | Stars | 86,541 | 6,500 | | Forks | 10,167 | 965 | | Open issues | 1,993 | 81 | | Language | Go | Python | | Adopt for | RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license. | Yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ragflow](/tools/infiniflow-ragflow.md) | [Yuxi](/tools/xerrors-yuxi.md) | | --- | --- | --- | | Open issues (now) | 2.0k | 81 | | Stars delta | Unknown | +336 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/infiniflow-ragflow/trust.md) | [trust report](/tools/xerrors-yuxi/trust.md) | **Typed relationship:** ragflow _(integrates with)_ Yuxi Both Yuxi and RAGFlow incorporate retrieval-augmented generation techniques to manage contexts, suggesting they can work together for more robust AI applications. ## Decision facts: ragflow - **Requirements:** Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services. - **Adopt for:** RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license. - **License detail:** Apache-2.0 License ## Decision facts: Yuxi - **Adopt for:** Yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI. ## Choose when ### Choose ragflow if… - ragflow is primarily Go; Yuxi is Python. - License: ragflow is Apache-2.0, Yuxi is MIT. - Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.. - Both Yuxi and RAGFlow incorporate retrieval-augmented generation techniques to manage contexts, suggesting they can work together for more robust AI applications. - Tags unique to ragflow: agentic-ai, context management, retrieval-augmented-generation. - - You need an integrated RAG system with AI agent capabilities for better context management in your applications. ### Choose Yuxi if… - Yuxi is primarily Python; ragflow is Go. - License: Yuxi is MIT, ragflow is Apache-2.0. - Both Yuxi and RAGFlow incorporate retrieval-augmented generation techniques to manage contexts, suggesting they can work together for more robust AI applications. - Tags unique to Yuxi: docker, fastapi, harness, kbqa. - - Yuxi is ideal if you are looking for an agent-driven platform that supports RAG retrieval, Milvus, and integrates Neo4j for managing knowledge bases and graphs. ## When NOT to use ragflow - - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function. ## When NOT to use Yuxi - - Avoid Yuxi if you need a platform that heavily relies on LightRAG as the original integration has been replaced by a custom Milvus-based implementation. - - Consider alternatives if you require advanced customization of document parsing beyond MinerU, PaddleX, and RapidOCR provided in Yuxi. ## Common questions ### What is the difference between ragflow and Yuxi? ragflow: Retrieval-Augmented Generation engine with agent capabilities. Yuxi: A multi-tenant Agent Harness platform integrating knowledge base and knowledge graphs with LangChain + Vue + FastAPI.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ragflow over Yuxi? Choose ragflow over Yuxi when ragflow is primarily Go; Yuxi is Python; License: ragflow is Apache-2.0, Yuxi is MIT; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Both Yuxi and RAGFlow incorporate retrieval-augmented generation techniques to manage contexts, suggesting they can work together for more robust AI applications; Tags unique to ragflow: agentic-ai, context management, retrieval-augmented-generation; - You need an integrated RAG system with AI agent capabilities for better context management in your applications. ### When should I choose Yuxi over ragflow? Choose Yuxi over ragflow when Yuxi is primarily Python; ragflow is Go; License: Yuxi is MIT, ragflow is Apache-2.0; Both Yuxi and RAGFlow incorporate retrieval-augmented generation techniques to manage contexts, suggesting they can work together for more robust AI applications; Tags unique to Yuxi: docker, fastapi, harness, kbqa; - Yuxi is ideal if you are looking for an agent-driven platform that supports RAG retrieval, Milvus, and integrates Neo4j for managing knowledge bases and graphs. ### When should I avoid ragflow? - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function. ### When should I avoid Yuxi? - Avoid Yuxi if you need a platform that heavily relies on LightRAG as the original integration has been replaced by a custom Milvus-based implementation. - Consider alternatives if you require advanced customization of document parsing beyond MinerU, PaddleX, and RapidOCR provided in Yuxi. ### Is ragflow or Yuxi more popular on GitHub? ragflow has more GitHub stars (86,541 vs 6,500). Stars measure visibility, not whether either tool fits your constraints. ### Are ragflow and Yuxi open source? Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, Yuxi: MIT). ### Where can I find alternatives to ragflow or Yuxi? GraphCanon lists graph-backed alternatives at [ragflow alternatives](/tools/infiniflow-ragflow/alternatives) and [Yuxi alternatives](/tools/xerrors-yuxi/alternatives) ([ragflow markdown twin](/tools/infiniflow-ragflow/alternatives.md), [Yuxi markdown twin](/tools/xerrors-yuxi/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/infiniflow-ragflow-vs-xerrors-yuxi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ragflow or Yuxi? ragflow: Very active. Yuxi: 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 ragflow and Yuxi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ragflow trust report](/tools/infiniflow-ragflow/trust); [Yuxi trust report](/tools/xerrors-yuxi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=infiniflow-ragflow`](/api/graphcanon/graph?tool=infiniflow-ragflow) - 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/_