docker-compose.yml

volumes:
  n8n_storage:
  ollama_storage:
  qdrant_storage:
  open-webui:
  flowise:

x-n8n: &service-n8n
  image: n8nio/n8n:latest
  environment:
    - DB_TYPE=postgresdb
    - DB_POSTGRESDB_HOST=db
    - DB_POSTGRESDB_USER=postgres
    - DB_POSTGRESDB_PASSWORD=${POSTGRES_PASSWORD}
    - DB_POSTGRESDB_DATABASE=postgres
    - N8N_DIAGNOSTICS_ENABLED=false
    - N8N_PERSONALIZATION_ENABLED=false
    - N8N_ENCRYPTION_KEY
    - N8N_USER_MANAGEMENT_JWT_SECRET

x-ollama: &service-ollama
  image: ollama/ollama:latest
  container_name: ollama
  restart: unless-stopped
  ports:
    - 11434:11434
  volumes:
    - ollama_storage:/root/.ollama

x-init-ollama: &init-ollama
  image: ollama/ollama:latest
  container_name: ollama-pull-llama
  volumes:
    - ollama_storage:/root/.ollama
  entrypoint: /bin/sh
  command:
    - "-c"
    - "sleep 3; OLLAMA_HOST=ollama:11434 ollama pull qwen2.5:7b-instruct-q4_K_M; OLLAMA_HOST=ollama:11434 ollama pull nomic-embed-text"
    # For a larger context length verison of the model, run these commands:
    # echo "FROM qwen2.5:7b-instruct-q4_K_M\n\nPARAMETER num_ctx 8096" > Modelfile
    # ollama create qwen2.5:7b-8k -f ./Modelfile
    # Change the name of the LLM and num_ctx as you see fit.

services:
  flowise:
    image: flowiseai/flowise
    restart: unless-stopped
    container_name: flowise
    environment:
        - PORT=3001
    ports:
        - 3001:3001
    extra_hosts:
      - "host.docker.internal:host-gateway"        
    volumes:
        - ~/.flowise:/root/.flowise
    entrypoint: /bin/sh -c "sleep 3; flowise start"

  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    restart: unless-stopped
    container_name: open-webui
    ports:
      - "3000:8080"
    extra_hosts:
      - "host.docker.internal:host-gateway"
    volumes:
      - open-webui:/app/backend/data

  n8n-import:
    <<: *service-n8n
    container_name: n8n-import
    entrypoint: /bin/sh
    command:
      - "-c"
      - "n8n import:credentials --separate --input=/backup/credentials && n8n import:workflow --separate --input=/backup/workflows"
    volumes:
      - ./n8n/backup:/backup  

  n8n:
    <<: *service-n8n
    container_name: n8n
    restart: unless-stopped
    ports:
      - 5678:5678
    volumes:
      - n8n_storage:/home/node/.n8n
      - ./n8n/backup:/backup
      - ./shared:/data/shared
    depends_on:
      n8n-import:
        condition: service_completed_successfully

  qdrant:
    image: qdrant/qdrant
    container_name: qdrant
    restart: unless-stopped
    ports:
      - 6333:6333
    volumes:
      - qdrant_storage:/qdrant/storage

  ollama-cpu:
    profiles: ["cpu"]
    <<: *service-ollama

  ollama-gpu:
    profiles: ["gpu-nvidia"]
    <<: *service-ollama
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]

  ollama-gpu-amd:
    profiles: ["gpu-amd"]
    <<: *service-ollama
    image: ollama/ollama:rocm
    devices:
      - "/dev/kfd"
      - "/dev/dri"

  ollama-pull-llama-cpu:
    profiles: ["cpu"]
    <<: *init-ollama
    depends_on:
      - ollama-cpu

  ollama-pull-llama-gpu:
    profiles: ["gpu-nvidia"]
    <<: *init-ollama
    depends_on:
      - ollama-gpu

  ollama-pull-llama-gpu-amd:
    profiles: [gpu-amd]
    <<: *init-ollama
    image: ollama/ollama:rocm
    depends_on:
     - ollama-gpu-amd