docker-compose.yaml

services:
  # ── Qdrant Vector Database ──────────────────────────────────────
  qdrant:
    image: qdrant/qdrant:v1.13.6
    container_name: qdrant
    restart: unless-stopped
    ports:
      - "6333:6333"   # REST API
      - "6334:6334"   # gRPC
    volumes:
      - qdrant_data:/qdrant/storage
    environment:
      - QDRANT__SERVICE__GRPC_PORT=6334
    deploy:
      resources:
        limits:
          memory: 1G
          cpus: "2"

  # ── Qdrant MCP Server ──────────────────────────────────────────
  qdrant-mcp:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: qdrant-mcp
    restart: unless-stopped
    depends_on:
      qdrant:
        condition: service_started
    ports:
      - "8090:8090"
    extra_hosts:
      # Allows the MCP container to reach services on the Docker host
      # (e.g., Ollama on localhost:11434). Works on Linux, macOS, and Windows.
      - "host.docker.internal:host-gateway"
    environment:
      - TZ=America/Chicago
      # Point at the bundled Qdrant service by container name
      - QDRANT_HOST=qdrant
      - QDRANT_PORT=6333
      # Default: Ollama on the Docker host via host.docker.internal
      - EMBED_BASE_URL=http://host.docker.internal:11434/v1
      # Override these for your embedding provider:
      # - EMBED_BASE_URL=https://api.openai.com/v1
      # - EMBED_MODEL=text-embedding-3-small
      # - EMBED_API_KEY=sk-...
    deploy:
      resources:
        limits:
          memory: 512M
          cpus: "2"

volumes:
  qdrant_data:
    # Persists across container restarts, rebuilds, and docker compose down.
    # Only destroyed by: docker volume rm qdrant-mcp_qdrant_data