
quivr
Integrates GenAI into apps with customizable RAG and support for any LLM and vectorstore.

What is quivr?
quivr is a RAG Infrastructure tool that integrates GenAI into apps with customizable RAG and support for any LLM and vectorstore. It is aimed at developers and data scientists.
Quivr is an opinionated RAG system designed to integrate generative AI into applications. It allows customization for existing products and supports various LLMs like GPT4, Groq, and Llama, as well as vector stores such as PGVector and Faiss. The tool enables users to work with any files and offers flexible configuration options.
Built for developers and data scientists.
Features
Customizable RAG Integration
Enables integration of GenAI into apps with customizable RAG.
Support for Any LLM
Supports various LLMs like GPT4, Groq, and Llama.
Support for Any Vectorstore
Supports vector stores such as PGVector and Faiss.
Flexible File Handling
Allows working with any files.
Configuration Options
Offers flexible configuration for integration.
Use cases
- Integrate generative AI into applications using customizable RAG
- Support various LLMs and vector stores in AI applications
- Work with any files in AI-driven workflows
Who it's for
Pros & cons
Pros
- Supports any LLM and vectorstore for flexible integration
- Offers customizable RAG for existing products
- Enables working with any files in AI applications
Cons
No documented limitations yet.
Developer & API
Open source· 39.6K stars· 3.7K forks
FAQ
What is quivr?
quivr is a RAG Infrastructure tool that integrates GenAI into apps with customizable RAG and support for any LLM and vectorstore. Quivr is an opinionated RAG system designed to integrate generative AI into applications. It allows customization for existing products and supports various LLMs like GPT4, Groq, and Llama, as well as vector stores such as PGVector and Faiss. The tool enables users to work with any files and offers flexible configuration options.
Who should use quivr?
quivr is built for developers and data scientists. Common uses: integrate generative AI into applications using customizable RAG, support various LLMs and vector stores in AI applications and work with any files in AI-driven workflows.
Is quivr open source?
Yes, quivr is open source.
What are the best alternatives to quivr?
Similar tools on AiByts include Fireworks AI, TensorZero, Link Preview API, RAGFlow and WFGY ProblemMap.
Details are compiled from quivr's website and public sources, last verified Oct 2, 2026. Features and pricing change — confirm on the official site before you buy.
Try quivr
Visit the official website
Tags
- LLM Integration
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