Pokemon RAG AI Assistant

An interactive Pokemon assistant that uses RAG (Retrieval Augmented Generation) to provide accurate information about Pokemon by combining the PokeAPI database with AI capabilities.

Features

• Chat-based interface for Pokemon queries
• Integration with PokeAPI for accurate Pokemon data
• RAG system for enhanced AI responses
• Modern Next.js frontend
• FastAPI backend

Setup

Backend

1. Install Python dependencies:

pip install -r requirements.txt

2. Run the backend:

uvicorn backend.main:app --reload

Frontend

1. Navigate to the frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Run the development server:

npm run dev

Environment Variables

Create a .env file in the root directory with:

OPENAI_API_KEY=your_openai_api_key