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| title: Gradio RAG | |
| emoji: 💬 | |
| colorFrom: yellow | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 5.0.1 | |
| app_file: app.py | |
| pinned: false | |
| thumbnail: >- | |
| https://cdn-uploads.huggingface.co/production/uploads/6717debbdc93697931443e1a/ZGyXEFgXtnCB8QMWAzExn.jpeg | |
| short_description: 'RAG in chatbot style ' | |
| license: mit | |
| An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index). | |
| # Knowledge Base Chatbot | |
| This is a chatbot that can answer questions based on your knowledge base. It uses FAISS for similarity search and the Together API for generating responses. | |
| ## Features | |
| - Natural conversation with context awareness | |
| - Chat history preservation | |
| - Clean interface | |
| - Fast responses | |
| ## Setup | |
| 1. Create a Hugging Face Space | |
| 2. Upload your FAISS index files | |
| 3. Set your Together API key in the Space's secrets with the name `TOGETHER_API_KEY` | |
| 4. The app will automatically deploy | |
| ## Usage | |
| Simply type your questions in the chat interface and get responses based on the knowledge base. | |
| ## Environment Variables | |
| - `TOGETHER_API_KEY`: Together API key (required) |