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Kotaemon

A self-hosted chat-with-your-documents app with citations.

Editorially reviewedChecked Oct 2026How we review·5 visited this week
document-ai#practical-oss#open-source#self-hosted#rag
Free plan Self-hosted Offline mode
Toolglade’s take

A strong pick if you want a ready-made, citation-first document-QA app you can host privately and point at either cloud or local models. Non-developers get an installable app; developers get a hackable Gradio pipeline. Skip it if you need a polished, supported commercial product with SLAs, or if you lack the appetite to manage Python, Docker, and optional parsing dependencies yourself.

Should you use Kotaemon?

Biggest strength
Answers include detailed citations viewable in a highlighting PDF viewer
Biggest weakness
Self-hosting requires Python 3.10+, Docker know-how, and setup effort
Pricing
Free plan
Top alternative
AlphaSense · see all

Facts & pricing last checked October 2026. How we review

About Kotaemon

Kotaemon is an open-source app for asking questions about your own documents, with answers backed by citations. It gives you a private, self-hosted document question-answering tool.

Kotaemon is a self-hosted, open-source app for chatting with your own documents using retrieval-augmented generation (RAG). It gives end users a clean web interface to upload files and ask questions, and it answers with detailed citations you can inspect in an in-browser PDF viewer with highlights, so you can check where each answer came from. It supports multi-user logins, private and public document collections, and works with both cloud LLM providers (OpenAI, Azure, Cohere, Groq) and local models via Ollama or llama-cpp-python. Under the hood it uses a hybrid retrieval pipeline (full-text plus vector search) with re-ranking, and supports multimodal parsing of figures and tables plus more advanced reasoning like question decomposition and GraphRAG indexing. It is aimed at both non-technical users who just want document Q&A and developers who want a customizable Gradio-based RAG framework to build on.

Weighing your options?See how Kotaemon compares to the alternatives.

Pros & cons

Pros

  • Answers include detailed citations viewable in a highlighting PDF viewer
  • Works with both cloud LLMs and fully local models via Ollama
  • Hybrid full-text plus vector retrieval with re-ranking for better results
  • Multi-user logins with private and public document collections
  • Docker images (lite, full, and bundled-Ollama) for quick deployment

Cons

  • Self-hosting requires Python 3.10+, Docker know-how, and setup effort
  • Processing non-PDF file types needs the extra Unstructured dependency
  • Advanced indexing like GraphRAG can introduce dependency version conflicts
  • Answer quality still depends heavily on the LLM and embeddings you connect

Key features

Self-hosted
Offline mode
Best For
privacy, research
Input types
text, document
Output types
text

Compare key features

View all alternatives →
Feature
Kotaemon
AlphaSense
Afforai
Pricing
Free
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
No
No
No
Self-hosted
Yes
No
No
Team support
—
Yes
Yes

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