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| title: RAG System with Ollama Cloud | |
| emoji: 🤖 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| pinned: false | |
| # RAG (Retrieval-Augmented Generation) QA System | |
| This is a production-ready RAG system using: | |
| - **MongoDB Atlas Vector Search** for document storage and retrieval | |
| - **Ollama Cloud (gpt-oss:120b-cloud)** for text generation | |
| - **Sentence Transformers** for embeddings | |
| - **FastAPI** for the web interface | |
| ## Features | |
| - Upload and process PDF, CSV, JSON documents | |
| - Scrape and index web pages | |
| - Semantic search using MongoDB Atlas | |
| - Question answering using Ollama Cloud models | |
| ## Configuration | |
| Set these environment variables in your Space settings: | |
| - `OLLAMA_API_KEY`: Your Ollama Cloud API key | |
| - `MONGODB_URI`: MongoDB Atlas connection string | |