Quivr

Quivr

Quivr is an opinionated RAG framework that works with any LLM (OpenAI, Anthropic, Mistral, Gemma) and any file type (PDF, TXT, Markdown). It allows you to customize your RAG with internet search, tools, and integrations. It is the core library designed so you can ingest your files and ask questions — your generative AI second brain.

Is Quivr free to self-host?

Yes — it is open source and runs on your own hardware.

Does Quivr need a lot of resources?

A server with 1–2GB RAM is enough for most workloads.

How do I deploy Quivr?

Easiest via Docker — see the installation guide for commands.

Where does my data go?

Nowhere — everything is processed locally on your server.

Quivr

Quivr is an opinionated RAG framework that works with any LLM (OpenAI, Anthropic, Mistral, Gemma) and any file type (PDF, TXT, Markdown). It allows you to customize your RAG with internet search, tools, and integrations. It is the core library designed so you can ingest your files and ask questions — your generative AI second brain.

Alternatives to Quivr

If Quivr isn't quite right, these are common self-hosted alternatives in the same category:

Quivr

Quivr is an opinionated RAG framework that works with any LLM (OpenAI, Anthropic, Mistral, Gemma) and any file type (PDF, TXT, Markdown). It allows you to customize your RAG with internet search, tools, and integrations. It is the core library designed so you can ingest your files and ask questions — your generative AI second brain.

Strengths

• Full self-hosted control over your data
• Straightforward Docker-based deployment
• Open-source license

Weaknesses

• Initial setup requires Docker familiarity
• You are responsible for maintenance and updates
• Resource needs can grow under heavy load

Verdict

Quivr is a solid self-hosted choice — its strengths outweigh the usual maintenance overhead.

Quivr

Quivr is an opinionated RAG framework that works with any LLM (OpenAI, Anthropic, Mistral, Gemma) and any file type (PDF, TXT, Markdown). It allows you to customize your RAG with internet search, tools, and integrations. It is the core library designed so you can ingest your files and ask questions — your generative AI second brain.

Prerequisites

• Docker installed (version 24.0+)
• Docker Compose (version 2.20+)
• At least 1GB RAM (2GB recommended)

Quick start with Docker

# Pull the image
docker pull owner/image:latest

# Run the container
docker run -d --name quivr -p 8080:8080 owner/image:latest

Key features

• Self-hosted and open source
• Docker-based deployment
• License: Apache-2.0
• Repository: https://github.com/QuivrHQ/quivr

Quivr

Quivr is an opinionated RAG framework that works with any LLM (OpenAI, Anthropic, Mistral, Gemma) and any file type (PDF, TXT, Markdown). It allows you to customize your RAG with internet search, tools, and integrations. It is the core library designed so you can ingest your files and ask questions — your generative AI second brain.

Key features

• Self-hosted and open source
• Docker-based deployment
• License: Apache-2.0
• Repository: https://github.com/QuivrHQ/quivr

What it's good for

Quivr runs entirely on your own infrastructure — your data never leaves your server.