Home/Compare/ragflow vs quivr

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

ragflow logo

ragflow

infiniflow/ragflow

87kpushed Jul 31, 2026
vs
quivr logo

quivr

QuivrHQ/quivr

39kpushed Jul 9, 2025

Trust & integrity

Signalragflowquivr
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

Typed relationship

ragflow alternative quivrBoth Quivr and ragflow are RAG engines, offering retrieval-augmented generation capabilities but with their own specific approaches and features.

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 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.

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