kotaemon vs RAG-Anything
Document RAG apps and multimodal RAG frameworks compared
kotaemon provides a customizable web app for asking questions about documents, while RAG-Anything is a framework for integrating multimodal document ingestion and retrieval into other applications. kotaemon emphasizes an interactive, self-hosted interface; RAG-Anything emphasizes parser-based workflows for text, images, tables, and equations on top of LightRAG.
kotaemon: Chat with Documents Using RAG
kotaemon is a customizable web interface and toolkit for asking questions about documents with retrieval-augmented generation. It suits teams that want a self-hosted document QA app or developers building and adapting RAG pipelines.
RAG-Anything: Build Multimodal Document RAG
RAG-Anything extends LightRAG to ingest and query documents containing text, images, tables, and equations in one retrieval workflow. It suits teams building knowledge bases from mixed-format documents, provided they can configure parsers and language or vision models.
| kotaemon | RAG-Anything | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Stars | 25.8k | 23.5k |
| Forks | 2.2k | 2.7k |
| Last analyzed | Oct 3, 2026 | Oct 9, 2026 |
Key differences
- kotaemon includes a Gradio chat interface with citations and an in-browser PDF viewer; RAG-Anything focuses on ingestion and retrieval workflows rather than a document chat UI.
- kotaemon offers hybrid full-text and vector retrieval with reranking; RAG-Anything builds multimodal entities and relationships on LightRAG, combining vector search with graph context.
- kotaemon supports document QA with figures and tables; RAG-Anything explicitly handles text, images, tables, and equations, with optional audio and video processing.
- kotaemon supports private and public collections, multi-user login, and chat sharing; RAG-Anything supports folder and batch processing and can accept pre-parsed content lists.
- kotaemon uses the Apache-2.0 license and has 25.8k stars and 2.2k forks; RAG-Anything uses the MIT license and has 23.5k stars and 2.7k forks.
- kotaemon can require Python 3.10 or newer for non-Docker setup and may need separate services for multimodal parsing; RAG-Anything has parser-specific requirements such as LibreOffice, PaddlePaddle, or ffmpeg for some workflows.
Choose kotaemon if you…
- need a ready-to-run document QA web interface with citations and a PDF viewer.
- want to customize retrieval, reasoning, and UI settings in one application.
- need shared document collections, multi-user login, or chat sharing.
Choose RAG-Anything if you…
- are building a multimodal RAG workflow into an application or knowledge base.
- need to query documents containing text, images, tables, and equations together.
- already have a parser and want to pass its prepared content lists into the workflow.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.