| title: Personal AI Assistant with RAG | |
| emoji: 🤗 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: true | |
| license: mit | |
| # Personal AI Assistant with RAG | |
| A powerful personal AI assistant that uses Retrieval-Augmented Generation (RAG) to provide responses based on your documents and notes. | |
| ## Features | |
| - Uses free Hugging Face models for language processing and embeddings | |
| - Stores and retrieves information in a vector database | |
| - Upload PDF, TXT, and CSV files to expand the knowledge base | |
| - Add direct text input to your knowledge base | |
| - View sources for AI responses | |
| - Conversation history tracking | |
| ## How to Use | |
| 1. **Upload Documents**: Use the sidebar to upload files (PDF, TXT, CSV) | |
| 2. **Add Text**: Enter text directly into the knowledge base | |
| 3. **Ask Questions**: Chat with the assistant about your documents | |
| 4. **View Sources**: See where information is coming from | |
| ## Built With | |
| - Hugging Face Models | |
| - LLM: google/flan-t5-large | |
| - Embeddings: sentence-transformers/all-MiniLM-L6-v2 | |
| - LangChain for orchestration | |
| - Qdrant for vector storage | |
| - Streamlit for UI | |
| Created by [p3rc03](https://huggingface.co/p3rc03) |