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Apps and SaaS

quivr

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama.

Our verdict

Not reviewed yet

We have not reviewed quivr yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About quivr

Quivr is an open-source RAG (Retrieval-Augmented Generation) framework that abstracts away infrastructure complexity for integrating LLMs into applications. It supports multiple LLM providers (GPT-4, Groq, Llama), vector stores (PGVector, Faiss), and file types, allowing developers to focus on product logic rather than RAG plumbing.

Best for

Python developers building LLM-augmented features who want to avoid RAG infrastructure decisions and vendor lock-in.

Use cases

  • Adding semantic search and chat to existing Python applications
  • Building document-based Q&A systems with flexible LLM backends
  • Prototyping multi-source knowledge retrieval without vendor lock-in

Notes

39,173 stars on GitHub. Last updated 2025-07-09.

Pros

  • Supports multiple LLM and vector store options, reducing vendor dependency
  • Designed for integration into existing products with minimal refactoring
  • Active open-source project with 39k+ stars and Python-native implementation

Cons

  • Opinionated architecture may not suit all RAG use cases or custom workflows
  • Requires Python environment, limiting use in non-Python stacks
  • Community-driven project with no commercial support guarantee

Key facts

What we have checked

Days since the last commit
0
Checked GitHub
GitHub forks
3,733
Checked GitHub
GitHub stars
39,605
Checked GitHub
Days to a first reply on issues
110
Checked GitHub
Open issues
10
Checked GitHub
Releases in the last 90 days
7
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Health and security

Is quivr looked after, and what do its setup files show

Health score

75 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 0 days ago
Releases15 of 157 releases in 90 days
Issue replies0 of 20First reply in 110 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

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Compare

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Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

Alternatives10 entries

Pairs with

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