Knowledge Assistant Chatbot

# Databricks Chatbot Application Chat applications powered by Databricks' model serving endpoints. This project provides a foundation for creating interactive chat interfaces that leverage Databricks' powerful AI framework and model serving infrastructure. ## Features - 🚀 Real-time chat interface - 💾 Chat history persistence - 🔄 Message regeneration capability - ⚡ Streaming responses - 🔒 Secure authentication - 🎯 Rate limiting and error handling ## Architecture The application is built with: - FastAPI for the backend API - SQLite for chat history storage - Async/await patterns for efficient request handling - Dependency injection for clean code organization ## Getting Started 1. Clone the repository 2. Install dependencies: ```bash pip install -r requirements.txt ``` 3. Building the Frontend [1]. Navigate to the frontend directory: ```bash cd frontend ``` [2]. Install dependencies: ```bash npm install ``` [3]. Build the production version: ```bash npm run build ``` 4. Run the application: ```bash python main.py ``` ## Example Interface Here's how the chat interface looks like  ## Key Components - `main.py`: FastAPI application entry point - `utils/`: Helper functions and utilities - `models.py`: Data models and schemas - `chat_database.py`: Database interactions - `token_minter.py`: Authentication handling