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| title: ClientSphere RAG Backend | |
| emoji: 🤖 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| sdk_version: "4.0.0" | |
| python_version: "3.11" | |
| app_file: app.py | |
| pinned: false | |
| # ClientSphere RAG Backend | |
| FastAPI-based RAG (Retrieval-Augmented Generation) backend for ClientSphere AI customer support platform. | |
| ## Features | |
| - 📚 Knowledge base management | |
| - 🔍 Semantic search with embeddings | |
| - 💬 AI-powered chat with citations | |
| - 📊 Confidence scoring | |
| - 🔒 Multi-tenant isolation | |
| - 📈 Usage tracking and billing | |
| ## API Endpoints | |
| - `GET /health/live` - Health check | |
| - `GET /kb/stats` - Knowledge base statistics | |
| - `POST /kb/upload` - Upload documents | |
| - `POST /chat` - Chat with RAG | |
| - `GET /kb/search` - Search knowledge base | |
| ## Environment Variables | |
| Required: | |
| - `GEMINI_API_KEY` - Google Gemini API key | |
| - `ENV` - Set to `prod` for production | |
| - `LLM_PROVIDER` - `gemini` or `openai` | |
| Optional: | |
| - `ALLOWED_ORIGINS` - CORS allowed origins (comma-separated) | |
| - `JWT_SECRET` - JWT secret for authentication | |
| ## Documentation | |
| See `README_HF_SPACES.md` for deployment details. | |