graph-based RAG backend, choose for graph-indexed knowledge, but no UI.
A modular graph-based Retrieval-Augmented Generation (RAG) system
- 35.6k
- Python
- MIT
RAG-based document Q&A
An open-source RAG-based web UI and framework for chatting with your documents using various LLMs.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
graph-based RAG backend, choose for graph-indexed knowledge, but no UI.
A modular graph-based Retrieval-Augmented Generation (RAG) system
enterprise-grade knowledge base platform with RBAC, heavier than kotaemon.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
unified RAG framework for multiple data types, no built-in UI, for developers.
"RAG-Anything: All-in-One RAG Framework"
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
old LlamaIndex RAG starter, unmaintained for over two years.
Build ChatGPT over your data, all with natural language
simple local PDF RAG script, limited features compared to kotaemon.
Chat with multiple PDFs locally
lightweight reference RAG with Gradio UI, less complete than kotaemon.
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.
scientific-paper-focused RAG with citations, no UI.
High accuracy RAG for answering questions from scientific documents with citations
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
CLI-based LLM chat tool with RAG, for terminal users wanting a command-line interface.
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
These projects were analysed and named kotaemon among their alternatives. The relationship is not symmetric — how kotaemon rates them is a separate judgement, made when kotaemon is analysed in its own right.
calls kotaemon “an end-user document chat web app”
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
calls kotaemon “document-chat GUI app, not a library to integrate.”
High accuracy RAG for answering questions from scientific documents with citations