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kotaemon

Cinnamon/kotaemon

An open-source RAG-based tool for chatting with your documents.

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Python Apache-2.0Last pushed Jun 9, 2026

Overview

Kotaemon is a user-friendly and customizable UI built on Retrieval-Augmented Generation technology, allowing users to interact with their document collections through chat. It aims at both enhancing end-user experience and facilitating developer workflows related to building RAG pipelines.

Categories

LLM FrameworksData & Retrieval

Tags

llmsragopen-sourcechatbot

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Install

pip install kotaemon
PyPI Docs / website

README

kotaemon

An open-source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind.

Cinnamon%2Fkotaemon | Trendshift

Live Demo #1 | Live Demo #2 | Online Install | Colab Notebook (Local RAG)

User Guide | Developer Guide | Feedback | Contact

docker pull ghcr.io/cinnamon/kotaemon:latest

Featured｜HelloGitHub

Introduction

This project serves as a functional RAG UI for both end users who want to do QA on their documents and developers who want to build their own RAG pipeline. 

+----------------------------------------------------------------------------+
| End users: Those who use apps built with `kotaemon`.                       |
| (You use an app like the one in the demo above)                            |
|     +----------------------------------------------------------------+     |
|     | Developers: Those who built with `kotaemon`.                   |     |
|     | (You have `import kotaemon` somewhere in your project)         |     |
|     |     +----------------------------------------------------+     |     |
|     |     | Contributors: Those who make `kotaemon` better.    |     |     |
|     |     | (You make PR to this repo)                         |     |     |
|     |     +----------------------------------------------------+     |     |
|     +----------------------------------------------------------------+     |
+----------------------------------------------------------------------------+

For end users

  • Clean & Minimalistic UI: A user-friendly interface for RAG-based QA.
  • Support for Various LLMs: Compatible with LLM API providers (OpenAI, AzureOpenAI, Cohere, etc.) and local LLMs (via ollama and llama-cpp-python).
  • Easy Installation: Simple scripts to get you started quickly.

For developers

  • Framework for RAG Pipelines: Tools to build your own RAG-based document QA pipeline.
  • Customizable UI: See your RAG pipeline in action with the provided UI, built with Gradio .
  • Gradio Theme: If you use Gradio for development, check out our theme here: kotaemon-gradio-theme.

Key Features

  • Host your own document QA (RAG) web-UI: Support multi-user login, organize your files in private/public collections, collaborate and share your favorite chat with others.

  • Organize your LLM & Embedding models: Support both local LLMs & popular API providers (OpenAI, Azure, Ollama, Groq).

  • Hybrid RAG pipeline: Sane default RAG pipeline with hybrid (full-text & vector) retriever and re-ranking to ensure best retrieval q