Comparison
ragflow vs graphrag
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 graphrag if graphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures.
Markdown twin · ragflow alternatives · graphrag alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | ragflow | graphrag |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (1d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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 engine with agent capabilities
- graphrag
- A modular graph-based Retrieval-Augmented Generation (RAG) system
Stars
- ragflow
- 87k
- graphrag
- 36k
Forks
- ragflow
- 10k
- graphrag
- 3.7k
Open issues
- ragflow
- 2.0k
- graphrag
- 46
Language
- ragflow
- Go
- graphrag
- Python
Adopt for
- ragflow
- 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.
- graphrag
- GraphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures.
Persona
- ragflow
- -
- graphrag
- -
Runtime
- ragflow
- -
- graphrag
- -
License
- ragflow
- Apache-2.0 License
- graphrag
- MIT
Last pushed
- ragflow
- Jul 31, 2026
- graphrag
- Aug 14, 2026
Categories
- ragflow
- AI Agents, Data & Retrieval
- graphrag
- Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- ragflow
- 0d
- graphrag
- 1d
Open issues (now)
- ragflow
- 2.0k
- graphrag
- 46
Stars delta
- ragflow
- Unknown
- graphrag
- +1.0k (30d)
Open issues delta
- ragflow
- Unknown
- graphrag
- -15 (30d)
OSV dependency advisories
- ragflow
- Published findings
- graphrag
- No lockfile (source not queried)
Full report
- ragflow
- Trust report
- graphrag
- Trust report
Typed relationship
ragflow graphragBoth GraphRAG and RAGFlow are focused on Retrieval-Augmented Generation systems, but approach the implementation differently.
Choose ragflow if…
- ragflow is primarily Go; graphrag is Python.
- License: ragflow is Apache-2.0, graphrag is MIT.
- Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
- Both GraphRAG and RAGFlow are focused on Retrieval-Augmented Generation systems, but approach the implementation differently.
- Tags unique to ragflow: agentic-ai, context management, retrieval-augmented-generation.
- Also covers AI Agents.
- ragflow ships Docker support for self-hosted deployment.
- - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
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.
Choose graphrag if…
- graphrag is primarily Python; ragflow is Go.
- License: graphrag is MIT, ragflow is Apache-2.0.
- Both GraphRAG and RAGFlow are focused on Retrieval-Augmented Generation systems, but approach the implementation differently.
- Tags unique to graphrag: gpt, gpt-4, graph, llm.
- Also covers LLM Frameworks.
- When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup.
When NOT to use graphrag
- If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by
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 Aug 1, 2026
- GitHub forks (infiniflow/ragflow) · observed Aug 1, 2026
- Last push (infiniflow/ragflow) · observed Jul 31, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/graphrag) · observed Aug 16, 2026
- GitHub forks (microsoft/graphrag) · observed Aug 16, 2026
- Last push (microsoft/graphrag) · observed Aug 14, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ragflow 87k · graphrag 36k (synced Aug 1, 2026).
Common questions
- What is the difference between ragflow and graphrag?
- ragflow: Retrieval-Augmented Generation engine with agent capabilities. graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. See the comparison table for live GitHub stats and shared categories.
- When should I choose ragflow over graphrag?
- Choose ragflow over graphrag when ragflow is primarily Go; graphrag is Python; License: ragflow is Apache-2.0, graphrag is MIT; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Both GraphRAG and RAGFlow are focused on Retrieval-Augmented Generation systems, but approach the implementation differently; Tags unique to ragflow: agentic-ai, context management, retrieval-augmented-generation; Also covers AI Agents; ragflow ships Docker support for self-hosted deployment; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
- When should I choose graphrag over ragflow?
- Choose graphrag over ragflow when graphrag is primarily Python; ragflow is Go; License: graphrag is MIT, ragflow is Apache-2.0; Both GraphRAG and RAGFlow are focused on Retrieval-Augmented Generation systems, but approach the implementation differently; Tags unique to graphrag: gpt, gpt-4, graph, llm; Also covers LLM Frameworks; When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup.
- 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 graphrag?
- If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by
- Is ragflow or graphrag more popular on GitHub?
- ragflow has more GitHub stars (86,541 vs 35,519). Stars measure visibility, not whether either tool fits your constraints.
- Are ragflow and graphrag open source?
- Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, graphrag: MIT).
- Where can I find alternatives to ragflow or graphrag?
- GraphCanon lists graph-backed alternatives at ragflow alternatives and graphrag alternatives (ragflow markdown twin, graphrag 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 graphrag?
- ragflow: Very active. graphrag: 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 graphrag?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow trust report; graphrag trust report.