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Pokemon RAG AI Assistant

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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
  1. Run the backend:
uvicorn backend.main:app --reload

Frontend

  1. Navigate to the frontend directory:
cd frontend
  1. Install dependencies:
npm install
  1. 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
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