docker-compose.yml

services:
  # Vector Database
  qdrant:
    image: qdrant/qdrant:latest
    restart: unless-stopped
    ports:
      - "6333:6333"
      - "6334:6334"
    volumes:
      - qdrant_data:/qdrant/storage
    environment:
      - QDRANT__SERVICE__HTTP_PORT=6333
    networks:
      - rag-network
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:6333/healthz"]
      interval: 10s
      timeout: 5s
      retries: 5

  # Backend API
  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile
    restart: unless-stopped
    ports:
      - "8000:8000"
    environment:
      - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
      - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
      - AWS_REGION=${AWS_REGION:-eu-central-1}
      - QDRANT_HOST=qdrant
      - QDRANT_PORT=6333
      - QDRANT_COLLECTION=documents
      - BEDROCK_MODEL_ID=anthropic.claude-3-5-sonnet-20241022-v2:0
      - EMBEDDING_MODEL_ID=amazon.titan-embed-text-v2:0
      - CHUNK_SIZE=512
      - CHUNK_OVERLAP=50
      - LLM_MAX_TOKENS=${LLM_MAX_TOKENS:-2048}
      - LLM_TEMPERATURE=${LLM_TEMPERATURE:-0.3}
      - RETRIEVAL_TOP_K=${RETRIEVAL_TOP_K:-5}
      - MAX_UPLOAD_SIZE_MB=${MAX_UPLOAD_SIZE_MB:-50}
      - CORS_ORIGINS=${CORS_ORIGINS:-http://localhost:3000,http://localhost:5173}
      - LOG_LEVEL=info
    volumes:
      - ./backend/app:/app/app:ro
    depends_on:
      qdrant:
        condition: service_healthy
    networks:
      - rag-network
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 10s
      timeout: 5s
      retries: 5

  # Frontend React App
  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
    restart: unless-stopped
    ports:
      - "3000:80"
    environment:
      - VITE_API_URL=http://localhost:8000
    depends_on:
      backend:
        condition: service_healthy
    networks:
      - rag-network

volumes:
  qdrant_data:

networks:
  rag-network:
    driver: bridge