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kotaemon

An open-source tool based on RAG for conversing with documents.

🌍 OverseasFreeOpen sourceResearch开源RAG文档问答Gradio
Platforms: WebSelf-hosted
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 25.4k
Source
GitHub
Added
2026-06-05
Last verified
2026-06-05

Overview

kotaemon is an open-source tool based on RAG (Retrieval-Augmented Generation) for conversing with documents. It offers a simple and customizable user interface, suitable for end users who want to ask questions about documents as well as developers looking to build their own RAG pipelines. With support for multiple language models and an easy installation process, kotaemon enables users to get started quickly and begin using it right away.

Key features

  • RAG-based technology
  • Simple and intuitive UI
  • Supports multiple LLMs
  • Easy installation
  • Customizable

Use cases

Document Q&ABuilding custom RAG pipelines

Pros

  • Compatible with multiple LLM APIs
  • User-friendly interface
  • Easy to develop and use

Limitations / notes

  • Requires some programming knowledge

Who it's for

End usersDevelopersContributors

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

What language models does kotaemon support?

Supports OpenAI, AzureOpenAI, Cohere, and local LLMs.

How do I get started with kotaemon?

Visit the online installation guide or use the provided Colab notebook.

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