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| title: AI Document Intelligence System (with RAG) | |
| emoji: ๐ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.10.0 | |
| app_file: app/main.py | |
| pinned: false | |
| # AI Document Intelligence System | |
| Upload documents and ask questions. Built with: | |
| - LangChain for RAG orchestration | |
| - ChromaDB for vector storage | |
| - Sentence Transformers for embeddings | |
| - Gradio for UI | |
| ## Features | |
| - Interactive document processing | |
| - Context-aware question answering | |
| - Support for multiple file formats | |
| - Real-time processing and analysis | |
| - Multi-language support | |
| - Customizable knowledge base | |
| ## Installation | |
| To get started with the AI Document Intelligence System, follow these steps: | |
| 1. Clone the repository: | |
| ```bash | |
| git clone https://github.com/yourusername/ai-document-intelligence.git | |
| cd ai-document-intelligence | |
| ``` | |
| 2. Create a virtual environment and activate it: | |
| ```bash | |
| python -m venv venv | |
| source venv/bin/activate # On Windows, use `venv\Scripts\activate` | |
| ``` | |
| 3. Install the required dependencies: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| 4. Run the application: | |
| ```bash | |
| python app/main.py | |
| ``` | |
| 5. Open your web browser and navigate to the provided local URL to access the Gradio interface. | |
| ## Usage: | |
| 1. Upload a PDF/DOCX/TXT file | |
| 2. Click "Process Document" | |
| 3. Ask questions about the content | |
| 4. Get answers with source citations |