Home/Compare/UltraRAG vs quivr

Comparison

UltraRAG vs quivr

Verdict

Pick UltraRAG if ultraRAG is a low-code framework for building retrieval-augmented generation pipelines with Python; 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.

Markdown twin · UltraRAG alternatives · quivr alternatives

GraphCanon updated Sep 20, 2026

9views this month

UltraRAG logo

UltraRAG

OpenBMB/UltraRAG

★ 5.7kpushed Aug 17, 2026
vs
quivr logo

quivr

The-Vibe-Company/quivr

★ 40kpushed Aug 31, 2026

Trust & integrity

SignalUltraRAGquivr
Maintenance
Very active (1d since push)
As of Aug 18, 2026 · github_public_v1
Active (17d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

Tagline

UltraRAG
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
quivr
Opiniated RAG for integrating GenAI in your apps

Stars

UltraRAG
5.7k
quivr
40k

Forks

UltraRAG
437
quivr
3.7k

Open issues

UltraRAG
18
quivr
34

Language

UltraRAG
Python
quivr
Python

Adopt for

UltraRAG
UltraRAG is a low-code framework for building retrieval-augmented generation pipelines with Python.
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.

Persona

UltraRAG
-
quivr
-

Runtime

UltraRAG
-
quivr
-

License

UltraRAG
Apache-2.0 license provides freedom with conditions for use, modification, and distribution.
quivr
Quivr is licensed under the Apache 2.0 License.

Last pushed

UltraRAG
Aug 17, 2026
quivr
Aug 31, 2026

Categories

UltraRAG
Data & Retrieval, LLM Frameworks
quivr
Data & Retrieval, Inference & Serving, LLM Frameworks

Trust and health

Maintenance

UltraRAG
Very active (96%)
quivr
Active (82%)

Days since push

UltraRAG
1d
quivr
17d

Open issues (now)

UltraRAG
18
quivr
34

Stars delta

UltraRAG
+18 (30d)
quivr
+132 (30d)

Open issues delta

UltraRAG
-7 (30d)
quivr
-2 (30d)

Full report

UltraRAG
Trust report

Typed relationship

UltraRAG alternative quivrQuivr is opinionated in creating RAG pipelines similarly to UltraRAG, making them competitive alternatives with differing approaches.

Shared compatibility

  • Python · UltraRAG: Python runtime · quivr: Python runtime

Choose UltraRAG if…

  • License: UltraRAG is Apache-2.0, quivr is Other.
  • Quivr is opinionated in creating RAG pipelines similarly to UltraRAG, making them competitive alternatives with differing approaches.
  • Tags unique to UltraRAG: deepseek, demo, easy, embedding.
  • UltraRAG ships Docker support for self-hosted deployment.
  • You require a straightforward setup with uv package manager or Docker support

When NOT to use UltraRAG

  • Prefer tools that do not rely on specific package managers like uv
  • Require more customization in pipeline creation beyond what low-code environments offer

Choose quivr if…

  • License: quivr is Other, UltraRAG is Apache-2.0.
  • 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..
  • Quivr is opinionated in creating RAG pipelines similarly to UltraRAG, making them competitive alternatives with differing approaches.
  • Tags unique to quivr: ai, api, chatbot, database.
  • Also covers Inference & Serving.
  • 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.

Explore

Sources

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

GitHub stars on cards: UltraRAG 5.7k · quivr 40k (synced Sep 20, 2026).

Common questions

What is the difference between UltraRAG and quivr?
UltraRAG: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines. quivr: Opiniated RAG for integrating GenAI in your apps. See the comparison table for live GitHub stats and shared categories.
When should I choose UltraRAG over quivr?
Choose UltraRAG over quivr when License: UltraRAG is Apache-2.0, quivr is Other; Quivr is opinionated in creating RAG pipelines similarly to UltraRAG, making them competitive alternatives with differing approaches; Tags unique to UltraRAG: deepseek, demo, easy, embedding; UltraRAG ships Docker support for self-hosted deployment; You require a straightforward setup with uv package manager or Docker support.
When should I choose quivr over UltraRAG?
Choose quivr over UltraRAG when License: quivr is Other, UltraRAG is Apache-2.0; 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.; Quivr is opinionated in creating RAG pipelines similarly to UltraRAG, making them competitive alternatives with differing approaches; Tags unique to quivr: ai, api, chatbot, database; Also covers Inference & Serving; When you need to integrate generative AI into your applications with support for multiple LLMs like GPT4, Groq, and Llama.
When should I avoid UltraRAG?
Prefer tools that do not rely on specific package managers like uv Require more customization in pipeline creation beyond what low-code environments offer
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.
Is UltraRAG or quivr more popular on GitHub?
quivr has more GitHub stars (39,533 vs 5,670). Stars measure visibility, not whether either tool fits your constraints.
Are UltraRAG and quivr open source?
Yes - both are open-source projects on GitHub (UltraRAG: Apache-2.0, quivr: Other).
Where can I find alternatives to UltraRAG or quivr?
GraphCanon lists graph-backed alternatives at UltraRAG alternatives and quivr alternatives (UltraRAG 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, UltraRAG or quivr?
UltraRAG: Very active. quivr: 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 UltraRAG and quivr?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: UltraRAG trust report; quivr trust report.

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