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| title: Restaurant RAG Assistant | |
| emoji: 🍕 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # 🍕 Restaurant RAG Assistant | |
| A smart restaurant customer service assistant powered by RAG (Retrieval-Augmented Generation) technology! | |
| ## Features | |
| 🤖 **Intelligent Knowledge Retrieval**: The assistant searches through a comprehensive knowledge base of restaurant policies, services, and information to provide accurate answers. | |
| 🏪 **Comprehensive Restaurant Information**: | |
| - Menu highlights and special dishes | |
| - Restaurant policies (refund, privacy, allergens) | |
| - Family-friendly amenities and baby policies | |
| - Weekend hours and reservations | |
| - Contact information and delivery options | |
| ## How It Works | |
| 1. **Query Processing**: When you ask a question, the system analyzes your query to understand what you're looking for | |
| 2. **Knowledge Search**: It searches through the restaurant's knowledge base to find the most relevant information | |
| 3. **Response Generation**: Using the retrieved information, it generates a helpful, accurate response | |
| ## Try It Out! | |
| Ask questions like: | |
| - "What are your most popular dishes?" | |
| - "Can I bring my baby to the restaurant?" | |
| - "What's your refund policy?" | |
| - "Are you open on weekends?" | |
| - "Do you handle food allergies?" | |
| ## Technology Stack | |
| - **Gradio**: Interactive web interface | |
| - **RAG**: Retrieval-Augmented Generation for accurate responses | |
| - **Together.ai**: LLM integration (optional - works with fallback mode) | |
| ## Setup | |
| To enable full AI responses, add your `TOGETHER_API_KEY` in the HuggingFace Spaces secrets section. | |
| --- | |
| Built for the Agentic AI Hackathon - demonstrating practical RAG applications in customer service! | |