---
title: "kotaemon"
type: "tool"
slug: "cinnamon-kotaemon"
canonical_url: "https://www.graphcanon.com/tools/cinnamon-kotaemon"
github_url: "https://github.com/Cinnamon/kotaemon"
homepage_url: "https://cinnamon.github.io/kotaemon/"
stars: 25524
forks: 2125
primary_language: "Python"
license: "Apache-2.0"
categories: ["data-retrieval", "llm-frameworks"]
tags: ["llms", "rag", "open-source", "chatbot"]
updated_at: "2026-07-07T18:24:07.722049+00:00"
---

# kotaemon

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

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.

## Facts

- Repository: https://github.com/Cinnamon/kotaemon
- Homepage: https://cinnamon.github.io/kotaemon/
- Stars: 25,524 · Forks: 2,125 · Open issues: 235 · Watchers: 128
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2026-06-09T09:55:55+00:00

## Categories

- [Data & Retrieval](/categories/data-retrieval.md)
- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

llms, rag, open-source, chatbot

## Related tools

- [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659)
- [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019)
- [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347)
- [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298)
- [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,117)
- [open-webui](/tools/open-webui-open-webui.md) - User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (★ 144,575)
- [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. (★ 116,702)
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch (★ 98,711)

## README (excerpt)

```text
<div align="center">

# kotaemon

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



<a href="https://trendshift.io/repositories/11607" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11607" alt="Cinnamon%2Fkotaemon | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>

[Live Demo #1](https://huggingface.co/spaces/cin-model/kotaemon) |
[Live Demo #2](https://huggingface.co/spaces/cin-model/kotaemon-demo) |
[Online Install](https://cinnamon.github.io/kotaemon/online_install/) |
[Colab Notebook (Local RAG)](https://colab.research.google.com/drive/1eTfieec_UOowNizTJA1NjawBJH9y_1nn)

[User Guide](https://cinnamon.github.io/kotaemon/) |
[Developer Guide](https://cinnamon.github.io/kotaemon/development/) |
[Feedback](https://github.com/Cinnamon/kotaemon/issues) |
[Contact](mailto:kotaemon.support@cinnamon.is)



<a href="https://github.com/Cinnamon/kotaemon/pkgs/container/kotaemon" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-kotaemon:latest-brightgreen" alt="docker pull ghcr.io/cinnamon/kotaemon:latest"></a>

<a href='https://huggingface.co/spaces/cin-model/kotaemon-demo'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a>
<a href="https://hellogithub.com/en/repository/d3141471a0244d5798bc654982b263eb" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=d3141471a0244d5798bc654982b263eb&claim_uid=RLiD9UZ1rEHNaMf&theme=small" alt="Featured｜HelloGitHub" /></a>

</div>



## 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.
<br>

```yml
+----------------------------------------------------------------------------+
| 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 <a href='https://github.com/gradio-app/gradio'>Gradio <img src='https://img.shields.io/github/stars/gradio-app/gradio'></a>.
- **Gradio Theme**: If you use Gradio for development, check out our theme here: [kotaemon-gradio-theme](https://github.com/lone17/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
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/cinnamon-kotaemon`](/api/graphcanon/tools/cinnamon-kotaemon)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_