Kotaemon: Ultimate RAG UI For Chatting With Your Documents! (Opensource)
Are you ready to take your document-based QA (Question Answering) to the next level? Kotaemon is here to revolutionize how you interact with your documents using the power of Retrieval-Augmented Generation (RAG).
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[Link's Used]:
Github Repo: https://github.com/Cinnamon/kotaemon
HuggingFace Space's Demo: https://huggingface.co/spaces/cin-mod...
Docs: https://cinnamon.github.io/kotaemon/
Whether you're an end user looking for a seamless QA experience or a developer eager to build custom RAG pipelines, Kotaemon has you covered!
🔍 Key Features:
Host Your Own Document QA Web-UI: Multi-user login, organize files in private/public collections, and collaborate or share chats with others.
Organize Your LLM & Embedding Models: Supports both local models and popular API providers like OpenAI, Azure, Ollama, and Groq.
Hybrid RAG Pipeline: Combines full-text & vector retrieval with re-ranking for top-notch retrieval quality.
Multi-Modal QA Support: Handle documents with figures & tables and use selectable multi-modal parsing options.
Advanced Citations with Document Preview: Detailed citations with in-browser PDF viewing and relevance warnings.
Complex Reasoning Support: Utilize question decomposition and agent-based reasoning methods like ReAct and ReWOO.
Configurable Settings UI: Easily adjust retrieval and generation settings on the fly.
Extensible & Customizable: Built on Gradio, allowing you to add or modify UI elements and indexing strategies.
💻 Get Started:
Option 1: Try Kotaemon on Hugging Face Spaces for a quick demo!
Option 2: Install locally using a simple zip file and run the installer to set everything up effortlessly.
Join the growing community of Kotaemon users and contributors today! 🌟
Additional Tags: Kotaemon, RAG UI, Document QA, Open Source RAG, Gradio UI, HybridRAG, GraphRAG, Document Retrieval, LLM Integration, Multi-modal QA, Advanced Citations, Complex Reasoning, Open Source Tools, Developer Tools
Hashtags: #Kotaemon #ragui #opensourceai #DocumentQA #HybridRAG #graphrag #llm #Gradio #aitools #coding #developers #techinnovation #rag