GraphCanon
Home/Compare/quivr vs LEANN

Comparison

quivr vs LEANN

Verdict

Pick quivr if quivr is a Python-based framework for integrating generative AI into applications, supporting various LLMs and vectorstores, with a focus on customization and ease of integration; 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 easy to integrate.

Markdown twin · quivr alternatives · LEANN alternatives

GraphCanon updated Sep 20, 2026

13views this month

quivr logo

quivr

The-Vibe-Company/quivr

★ 40kpushed Aug 31, 2026
vs
LEANN logo

LEANN

StarTrail-org/LEANN

★ 13kpushed Jul 31, 2026

Trust & integrity

SignalquivrLEANN
Maintenance
Active (17d since push)
As of Sep 18, 2026 · github_public_v1
Active (17d 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 · Organization account
As of Aug 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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
quivr trust reportLEANN trust reportTrust methodology

Tagline

quivr
Opiniated RAG for integrating GenAI in your apps
LEANN
RAG on Everything with LEANN

Stars

quivr
40k
LEANN
13k

Forks

quivr
3.7k
LEANN
1.1k

Open issues

quivr
34
LEANN
45

Language

quivr
Python
LEANN
Python

Adopt for

quivr
Quivr is a Python-based framework for integrating generative AI into applications, supporting various LLMs and vectorstores, with a focus on customization and ease of integration.
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
Quivr is licensed under the Apache 2.0 License.
LEANN
MIT

Last pushed

quivr
Aug 31, 2026
LEANN
Jul 31, 2026

Categories

quivr
Data & Retrieval, Inference & Serving, LLM Frameworks
LEANN
Data & Retrieval, Developer Tools

Trust and health

Open issues (now)

quivr
34
LEANN
45

Stars delta

quivr
+132 (30d)
LEANN
+81 (30d)

Open issues delta

quivr
-2 (30d)
LEANN
0 (30d)

Full report

quivr
Trust report
LEANN
Trust report

Typed relationship

quivr alternative LEANNBoth 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.

Shared compatibility

  • Python · quivr: Python runtime · LEANN: Python runtime

Choose quivr if…

  • License: quivr is Other, LEANN is MIT.
  • Pricing: The core framework is free to use under the Apache 2.0 License, but additional services or support might incur costs..
  • Requirements: Min 2 GB RAM; Python environment is required.; Installation is straightforward with pip..
  • 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, database, docker.
  • Also covers Inference & Serving, LLM Frameworks.
  • When you need to integrate generative AI into your applications with support for multiple LLMs like GPT4, Groq, and Llama.

When NOT to use quivr

  • If you are looking for a framework that enforces a strict, non-customizable approach to integrating generative AI.
  • When your project requires a framework that supports only a specific set of LLMs or vectorstores, and you do not need the flexibility to switch between them.
  • If your application does not require the level of customization and flexibility that Quivr offers, and a more rigid framework would suffice.
GitHubDetails

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.
GitHubDetails

Explore

quivr trust report →LEANN trust report →Data & Retrieval category →Inference & Serving category →LLM Frameworks category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: quivr 40k · LEANN 13k (synced Sep 20, 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 core framework is free to use under the Apache 2.0 License, but additional services or support might incur costs.; Requirements: Min 2 GB RAM; Python environment is required.; Installation is straightforward with pip.; 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, database, docker; Also covers Inference & Serving, LLM Frameworks; When you need to integrate generative AI into your applications with support for multiple LLMs like GPT4, Groq, and Llama.
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?
If you are looking for a framework that enforces a strict, non-customizable approach to integrating generative AI. When your project requires a framework that supports only a specific set of LLMs or vectorstores, and you do not need the flexibility to switch between them. If your application does not require the level of customization and flexibility that Quivr offers, and a more rigid framework would suffice.
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 (39,533 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: Active. 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.

Was this helpful?

Anonymous feedback helps us improve pages and translations.