{"repo":"AlexisBalayre/RagDocs","free":true,"listed":false,"github":"https://github.com/AlexisBalayre/RagDocs","clone":"git clone https://github.com/AlexisBalayre/RagDocs.git","description":"An AI-powered search engine to interact with documentation using RAG and local LLMs. Privately deployable with vector search and a modern frontend.","language":"MDX","stars":12,"topics":["documentation","llm","local-llm","milvus","nextjs","rag","vector-database","chatbots","fastapi","knowledge-base"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"RagDocs RagDocs is a cutting-edge open-source solution that revolutionizes how you interact with documentation. By combining the power of local LLMs with state-of-the-art Retrieval-Augmented Generation (RAG) , developers can instantly get accurate answers from their documentation without any API costs. Say goodbye to expensive API calls and privacy concerns. With RagDocs , all your documentation stays private while providing ChatGPT-like interactions. Built with Milvus vector search and Next.js, it's production-ready and easy to deploy. Experience the future of documentation search with complete data privacy and no usage fees. https://github.com/user-attachments/assets/24c25726-6599-4be5-9fa5-c7b8af6a4c55 🌟 Features - 🤖 Intelligent Chat Interface : Conversational interface tailored for technical documentation. - 🔍 Cutting-Edge Retrieval Augmented Generation : Accurate and context-aware responses. - 💾 Local LLM Support : Integrated with Ollama for privacy and efficiency. - 🎯 Vector Search Powered by Milvus : Rapid and scalable document querying. - 🚀 Modern Next.js Frontend : Sleek, real-time user experience. - 📚 Multi-Document Support : Seamless handling of diverse tech stacks. - ⚡ Fast Document Processing : Efficient ingestion and analysis of updates. - 🔄 Incremental Updates : Keep your documentation in sync effortlessly. --- 🏗️ Architecture --- 🚀 Getting Started Prerequisites - Python 3.12+ - Node.js 20.17.0 - Milvus 2.0+ - Ollama (for local LLM support) Install No","default_branch":null,"files":null,"tree":[],"storefront":"/r/AlexisBalayre","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AlexisBalayre/RagDocs/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}