Comparison
quivr vs LEANN
Verdict
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 product needs; pick LEANN if lEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it.
Markdown twin · quivr alternatives · LEANN alternatives
GraphCanon updated 5d
Trust & integrity
| Signal | quivr | LEANN |
|---|---|---|
| Maintenance | Dormant (402d since push) As of 1w · github_public_v1 | Active (17d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- quivr
- Opiniated RAG for integrating GenAI in your apps 🧠
- LEANN
- RAG on Everything with LEANN
Stars
- quivr
- 39k
- LEANN
- 13k
Forks
- quivr
- 3.7k
- LEANN
- 1.1k
Open issues
- quivr
- 36
- LEANN
- 45
Language
- quivr
- Python
- LEANN
- Python
Adopt for
- 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.
- LEANN
- LEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into Python,
Persona
- quivr
- -
- LEANN
- -
Runtime
- quivr
- -
- LEANN
- -
License
- quivr
- Other
- LEANN
- MIT
Last pushed
- quivr
- Jul 9, 2025
- LEANN
- Jul 31, 2026
Categories
- quivr
- AI Agents, Data & Retrieval
- LEANN
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- quivr
- Dormant (18%)
- LEANN
- Active (82%)
Days since push
- quivr
- 402d
- LEANN
- 17d
Open issues (now)
- quivr
- 36
- LEANN
- 45
Stars delta
- quivr
- +188 (30d)
- LEANN
- +81 (30d)
Open issues delta
- quivr
- +5 (30d)
- LEANN
- 0 (30d)
Full report
- quivr
- Trust report
- LEANN
- Trust report
Typed relationship
Shared compatibility
- Python · quivr: Python runtime · LEANN: Python runtime
Choose quivr if…
- License: quivr is Other, LEANN is MIT.
- Pricing: The pricing details for Quivr are currently unshared..
- Requirements: Min 4 GB RAM; Requires Docker.
- Both Quivr and LEANN offer solutions for integrating GenAI into applications using RAG, but with Quivr focusing on opinionated choices and LEANN providing privacy-first and low storage RAG capabilities on personal devices.
- Tags unique to quivr: api, chatbot, framework, vector.
- Also covers AI Agents.
- 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
Choose LEANN if…
- License: LEANN is MIT, quivr is Other.
- Both Quivr and LEANN offer solutions for integrating GenAI into applications using RAG, but with Quivr focusing on opinionated choices and LEANN providing privacy-first and low storage RAG capabilities on personal devices.
- Tags unique to LEANN: faiss, gpt-oss, langchain, llama-index.
- Also covers Developer Tools.
- When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
When NOT to use LEANN
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies.
- LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (StarTrail-org/LEANN) · observed Aug 18, 2026
- GitHub forks (StarTrail-org/LEANN) · observed Aug 18, 2026
- Last push (StarTrail-org/LEANN) · observed Jul 31, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: quivr 39k · LEANN 13k (synced Aug 16, 2026).
Common questions
- What is the difference between quivr and LEANN?
- quivr: Opiniated RAG for integrating GenAI in your apps 🧠. LEANN: RAG on Everything with LEANN. See the comparison table for live GitHub stats and shared categories.
- When should I choose quivr over LEANN?
- Choose quivr over LEANN when License: quivr is Other, LEANN is MIT; Pricing: The pricing details for Quivr are currently unshared.; Requirements: Min 4 GB RAM; Requires Docker; Both Quivr and LEANN offer solutions for integrating GenAI into applications using RAG, but with Quivr focusing on opinionated choices and LEANN providing privacy-first and low storage RAG capabilities on personal devices; Tags unique to quivr: api, chatbot, framework, vector; Also covers AI Agents; When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies.
- When should I choose LEANN over quivr?
- Choose LEANN over quivr when License: LEANN is MIT, quivr is Other; Both Quivr and LEANN offer solutions for integrating GenAI into applications using RAG, but with Quivr focusing on opinionated choices and LEANN providing privacy-first and low storage RAG capabilities on personal devices; Tags unique to LEANN: faiss, gpt-oss, langchain, llama-index; Also covers Developer Tools; When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
- 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
- When should I avoid LEANN?
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies. LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
- Is quivr or LEANN more popular on GitHub?
- quivr has more GitHub stars (39,401 vs 12,785). Stars measure visibility, not whether either tool fits your constraints.
- Are quivr and LEANN open source?
- Yes - both are open-source projects on GitHub (quivr: Other, LEANN: MIT).
- Where can I find alternatives to quivr or LEANN?
- GraphCanon lists graph-backed alternatives at quivr alternatives and LEANN alternatives (quivr markdown twin, LEANN 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, quivr or LEANN?
- quivr: Dormant. LEANN: 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 quivr and LEANN?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: quivr trust report; LEANN trust report.