Quivr
Quivr is a RAG framework integrated with generative AI, supporting multiple LLMs and file types.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 39.4k
- Views
- 1
- Source
- GitHub
- Added
- 2026-09-01
- Last verified
- 2026-09-01
Overview
Quivr is a RAG framework designed to help developers easily integrate generative AI into existing products. It supports various language models (such as GPT-4, Groq, Llama) and vector stores (like PGVector, Faiss), and can handle diverse file types. Quivr offers highly customizable RAG, allowing users to add internet search, tools, and more. With simple installation and configuration, developers can quickly build their own intelligent assistants and focus on core product features.
Key features
- ▪Supports multiple LLMs and vector stores
- ▪Handles arbitrary file types
- ▪Highly customizable RAG
- ▪Simple and easy integration
Use cases
Pros
- +Highly customizable
- +Supports multiple LLMs and file types
- +Easy to integrate
- +Open-source community support
Limitations / notes
- -Requires some Python programming background
- -Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, Quivr is an open-source project and available for free use.
Does it support Chinese?
Yes, it supports Chinese by configuring language models that support Chinese.
Can it be used commercially?
Yes, Quivr is an open-source project and can be used for commercial purposes as needed.
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