docker-compose.yml

version: '3.8'

services:
  standalone:
    container_name: milvus
    image: milvusdb/milvus:v2.3.3
    command: ['milvus', 'run', 'standalone']
    security_opt:
      - seccomp:unconfined
    environment:
      ETCD_USE_EMBED: 'true'
      ETCD_DATA_DIR: '/etcd'
      ETCD_CONFIG_PATH: '/milvus/configs/embedEtcd.yaml'
      COMMON_STORAGETYPE: 'local'
    volumes:
      - milvus:/var/lib/milvus
      - ./milvus.yaml:/milvus/configs/milvus.yaml
      - etcd:/etcd
      - ${DOCKER_VOLUME_DIRECTORY:-.}/embedEtcd.yaml:/milvus/configs/embedEtcd.yaml
    healthcheck:
      test: ['CMD', 'curl', '-f', 'http://localhost:9091/healthz']
      interval: 30s
      start_period: 90s
      timeout: 20s
      retries: 3
    ports:
      - '19530:19530'
      - '9091:9091'
    networks:
      - rubra
    logging:
      driver: json-file
      options:
        max-size: '10m'
        max-file: '3'

  mongodb:
    image: mongo
    container_name: mongodb
    ports:
      - '27017:27017'
    volumes:
      - mongodb:/data/db
    networks:
      - rubra

  redis:
    image: redis
    container_name: redis
    command: redis-server --appendonly yes
    ports:
      - '6379:6379'
    networks:
      - rubra

  litellm:
    image: ghcr.io/berriai/litellm:main-v1.22.9
    ports:
      - '8002:8002'
    container_name: litellm
    volumes:
      - ./llm-config.yaml:/app/config.yaml
    command: ["--config", "/app/config.yaml", "--port", "8002", "--num_workers", "8"]
    healthcheck:
      test: ["CMD-SHELL", "litellm --health --port 8002"]
      interval: 30s
      timeout: 30s
      retries: 3
      start_period: 40s
    networks:
      - rubra

  text-embedding-api:
    build:
      context: ./services/backend/text_embedding_api
      dockerfile: Dockerfile
    container_name: text-embedding-api
    image: ghcr.io/rubra-ai/rubra/text_embedding_api:${RUBRA_TAG:-main}
    ports:
      - '8020:8020'
    environment:
      - MODEL_NAME=sentence-transformers/all-MiniLM-L6-v2
    networks:
      - rubra

  vector-db-api:
    build:
      context: ./services/backend/vector_db_api
      additional_contexts:
        - core=./core
      dockerfile: Dockerfile
    container_name: vector-db-api
    image: ghcr.io/rubra-ai/rubra/vector_db_api:${RUBRA_TAG:-main}
    ports:
      - '8010:8010'
    environment:
      - MILVUS_HOST=milvus
      - EMBEDDING_HOST=text-embedding-api
    networks:
      - rubra


  task-executor:
    build:
      context: ./services/backend/task_executor
      additional_contexts: # requires compose >=v2.17.0
        - core=./core
      dockerfile: Dockerfile
    image: ghcr.io/rubra-ai/rubra/task_executor:${RUBRA_TAG:-main}
    container_name: task-executor
    environment:
      - REDIS_HOST=redis
      - MONGODB_HOST=mongodb
      - LITELLM_HOST=litellm
      - EMBEDDING_HOST=text-embedding-api
      - VECTOR_DB_HOST=vector-db-api
      - MILVUS_HOST=milvus
      - LITELLM_MASTER_KEY=abc
    depends_on:
      - redis
      - mongodb
    networks:
      - rubra


  api-server:
    build:
      context: ./services/backend/api_server
      additional_contexts:
        - core=./core
      dockerfile: Dockerfile
    image: ghcr.io/rubra-ai/rubra/api_server:${RUBRA_TAG:-main}
    container_name: api-server
    environment:
      - REDIS_HOST=redis
      - MONGODB_HOST=mongodb
      - LITELLM_HOST=litellm
      - MILVUS_HOST=milvus
    ports:
      - '8000:8000'
    depends_on:
      litellm:
        condition: service_healthy
      task-executor:
        condition: service_started
    networks:
      - rubra

  ui:
    build:
      context: ./services/frontend/ui
      dockerfile: Dockerfile
    image: ghcr.io/rubra-ai/rubra/ui:${RUBRA_TAG:-main}
    container_name: ui
    environment:
      - RUBRA_BACKEND_HOST=api-server
    ports:
      - "8501:8501"
    depends_on:
      - api-server
    networks:
      - rubra

networks:
  rubra:
    name: rubra
    driver: bridge


volumes:
  milvus:
  mongodb:
  etcd: