ai_query_pdf/compose.yml at main · Carlos93U/ai_query_pdf · GitHub

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services:
  # Redis database for cache and sessions
  redis:
    image: redis:7-alpine
    container_name: rag_redis
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data
    restart: unless-stopped
    command: redis-server --appendonly yes

  # Backend RAG - PDF processing and queries
  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile
    container_name: rag_backend
    ports:
      - "8000:8000"
    env_file:
      - .env
    environment:
      - REDIS_URL=redis://redis:6379
      - VECTORSTORE_PATH=/app/vectorstore
      - UPLOAD_FOLDER=/app/uploads
    volumes:
      - ./backend:/app
      - vectorstore_data:/app/vectorstore
      - uploads_data:/app/uploads
    depends_on:
      - redis
    restart: unless-stopped
    command: python app.py

  # Frontend Flask - Web interface
  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
    container_name: rag_frontend
    ports:
      - "5000:5000"
    env_file:
      - .env
    environment:
      - BACKEND_URL=http://backend:8000
      - REDIS_URL=redis://redis:6379
    volumes:
      - ./frontend:/app
    depends_on:
      - backend
      - redis
    restart: unless-stopped
    command: python app.py

volumes:
  redis_data:
    driver: local
  vectorstore_data:
    driver: local
  uploads_data:
    driver: local

networks:
  default:
    name: rag_network