Comparison
ragflow vs quivr
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 quivr if quivr is an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework allows for customization to fit various.
Markdown twin · ragflow alternatives · quivr alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | ragflow | quivr |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (402d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3d · 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
- quivr
- Opiniated RAG for integrating GenAI in your apps 🧠
Stars
- ragflow
- 87k
- quivr
- 39k
Forks
- ragflow
- 10k
- quivr
- 3.7k
Open issues
- ragflow
- 2.0k
- quivr
- 36
Language
- ragflow
- Go
- quivr
- 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.
- quivr
- Quivr is an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework allows for customization to fit various product needs.
Persona
- ragflow
- -
- quivr
- -
Runtime
- ragflow
- -
- quivr
- -
License
- ragflow
- Apache-2.0 License
- quivr
- Other
Last pushed
- ragflow
- Jul 31, 2026
- quivr
- Jul 9, 2025
Categories
- ragflow
- AI Agents, Data & Retrieval
- quivr
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- ragflow
- Very active (96%)
- quivr
- Dormant (18%)
Days since push
- ragflow
- 0d
- quivr
- 402d
Open issues (now)
- ragflow
- 2.0k
- quivr
- 36
Stars delta
- ragflow
- Unknown
- quivr
- +188 (30d)
Open issues delta
- ragflow
- Unknown
- quivr
- +5 (30d)
OSV dependency advisories
- ragflow
- Published findings
- quivr
- No lockfile (source not queried)
Full report
- ragflow
- Trust report
- quivr
- Trust report
Typed relationship
Choose ragflow if…
- ragflow is primarily Go; quivr is Python.
- License: ragflow is Apache-2.0, quivr is Other.
- Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
- Both Quivr and ragflow are RAG engines, offering retrieval-augmented generation capabilities but with their own specific approaches and features.
- Tags unique to ragflow: agentic-ai, context management, rag, retrieval-augmented-generation.
- 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 quivr if…
- quivr is primarily Python; ragflow is Go.
- License: quivr is Other, ragflow is Apache-2.0.
- Pricing: The pricing details for Quivr are currently unshared..
- Requirements: Min 4 GB RAM; Requires Docker.
- Both Quivr and ragflow are RAG engines, offering retrieval-augmented generation capabilities but with their own specific approaches and features.
- Tags unique to quivr: ai, api, chatbot, framework.
- When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies
When NOT to use quivr
- When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature
- For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
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 (QuivrHQ/quivr) · observed Aug 16, 2026
- GitHub forks (QuivrHQ/quivr) · observed Aug 16, 2026
- Last push (QuivrHQ/quivr) · observed Jul 9, 2025
- License file (Other) · 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 · quivr 39k (synced Aug 1, 2026).
Common questions
- What is the difference between ragflow and quivr?
- ragflow: Retrieval-Augmented Generation engine with agent capabilities. quivr: Opiniated RAG for integrating GenAI in your apps 🧠. See the comparison table for live GitHub stats and shared categories.
- When should I choose ragflow over quivr?
- Choose ragflow over quivr when ragflow is primarily Go; quivr is Python; License: ragflow is Apache-2.0, quivr is Other; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Both Quivr and ragflow are RAG engines, offering retrieval-augmented generation capabilities but with their own specific approaches and features; Tags unique to ragflow: agentic-ai, context management, rag, retrieval-augmented-generation; 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 quivr over ragflow?
- Choose quivr over ragflow when quivr is primarily Python; ragflow is Go; License: quivr is Other, ragflow is Apache-2.0; Pricing: The pricing details for Quivr are currently unshared.; Requirements: Min 4 GB RAM; Requires Docker; Both Quivr and ragflow are RAG engines, offering retrieval-augmented generation capabilities but with their own specific approaches and features; Tags unique to quivr: ai, api, chatbot, framework; When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies.
- 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 quivr?
- When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
- Is ragflow or quivr more popular on GitHub?
- ragflow has more GitHub stars (86,541 vs 39,401). Stars measure visibility, not whether either tool fits your constraints.
- Are ragflow and quivr open source?
- Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, quivr: Other).
- Where can I find alternatives to ragflow or quivr?
- GraphCanon lists graph-backed alternatives at ragflow alternatives and quivr alternatives (ragflow markdown twin, quivr 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 quivr?
- ragflow: Very active. quivr: Dormant. 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 quivr?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow trust report; quivr trust report.