---
title: RAG Chatbot Demo
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: "3.0.0"
python_version: "3.10"
app_file: app.py
pinned: false
---

# Demo RAG Chatbot

A Python demo chatbot that:

- loads `config.yaml` with `sambanova_api_key` and `website`
- scrapes the configured website
- builds embeddings using HuggingFace models
- retrieves relevant chunks (RAG)
- generates answers using SambaNova API
- returns formatted text output with citations

## Setup

1. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```

2. Configure `config.yaml`:
   - `sambanova_api_key`: your SambaNova API key
   - `website`: the URL to scrape
   - `embedding_model`: HuggingFace model (default: `sentence-transformers/all-MiniLM-L6-v2`)
   - `system_prompt`: optional behavior prompt

## Run CLI Mode

```bash
python chatbot.py
```

Type a question and press Enter. Type `exit` to quit.

## Run with Gradio UI

```bash
python app.py
```

Interactive web interface with real-time answers and citations display.