Comparison
ragflow vs Yuxi
Verdict
Pick ragflow if rAGFlow is an open-source RAG engine that integrates agent capabilities to enhance context management for LLMs, built in Go 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.
Markdown twin · ragflow alternatives · Yuxi alternatives
GraphCanon updated Sep 20, 2026
13views this month
Trust & integrity
| Signal | ragflow | Yuxi |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ragflow
- Retrieval-Augmented Generation (RAG) engine with agent capabilities
- Yuxi
- A multi-tenant Agent Harness platform integrating knowledge base and knowledge graphs with LangChain + Vue + FastAPI.
Stars
- ragflow
- 91k
- Yuxi
- 6.5k
Forks
- ragflow
- 11k
- Yuxi
- 965
Open issues
- ragflow
- 1.4k
- Yuxi
- 81
Language
- ragflow
- Go
- Yuxi
- Python
Adopt for
- ragflow
- RAGFlow is an open-source RAG engine that integrates agent capabilities to enhance context management for LLMs, built in Go under the Apache-2.0 license.
- Yuxi
- Yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI.
Persona
- ragflow
- -
- Yuxi
- -
Runtime
- ragflow
- -
- Yuxi
- -
License
- ragflow
- Apache-2.0
- Yuxi
- MIT
Last pushed
- ragflow
- Sep 18, 2026
- Yuxi
- Aug 18, 2026
Categories
- ragflow
- AI Agents, Data & Retrieval
- Yuxi
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- ragflow
- 1.4k
- Yuxi
- 81
Stars delta
- ragflow
- +4.4k (30d)
- Yuxi
- +336 (30d)
Open issues delta
- ragflow
- -553 (30d)
- Yuxi
- 0 (30d)
Owner type
- ragflow
- Organization
- Yuxi
- User
OSV dependency advisories
- ragflow
- Published findings
- Yuxi
- No lockfile (source not queried)
Full report
- ragflow
- Trust report
- Yuxi
- Trust report
Typed relationship
Choose ragflow if…
- ragflow is primarily Go; Yuxi is Python.
- License: ragflow is Apache-2.0, Yuxi is MIT.
- 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: agent-harness, agentic-ai, agentic-retrieval, agentic-search.
- When you need an open-source RAG engine that can integrate with external LLM and embedding services to enhance context management.
When NOT to use ragflow
- If your project does not require integration with external LLM and embedding services, as RAGFlow relies on these services.
- If you are looking for a lightweight solution, as RAGFlow's Docker image is approximately 2 GB in size.
- When you prefer tools that do not require building a Docker image, as RAGFlow's setup involves creating a Docker image.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (infiniflow/ragflow) · observed Sep 20, 2026
- GitHub forks (infiniflow/ragflow) · observed Sep 20, 2026
- Last push (infiniflow/ragflow) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (xerrors/Yuxi) · observed Sep 20, 2026
- GitHub forks (xerrors/Yuxi) · observed Sep 20, 2026
- Last push (xerrors/Yuxi) · observed Aug 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ragflow 91k · Yuxi 6.5k (synced Sep 20, 2026).
Common questions
- What is the difference between ragflow and Yuxi?
- ragflow: Retrieval-Augmented Generation (RAG) 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; 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: agent-harness, agentic-ai, agentic-retrieval, agentic-search; When you need an open-source RAG engine that can integrate with external LLM and embedding services to enhance context management.
- 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 your project does not require integration with external LLM and embedding services, as RAGFlow relies on these services. If you are looking for a lightweight solution, as RAGFlow's Docker image is approximately 2 GB in size. When you prefer tools that do not require building a Docker image, as RAGFlow's setup involves creating a Docker image.
- 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 (90,923 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 and Yuxi alternatives (ragflow markdown twin, Yuxi markdown twin), 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 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; Yuxi trust report.