127 lines
3.1 KiB
YAML
127 lines
3.1 KiB
YAML
include:
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- ./docker-compose-base.yml
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services:
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ragflow:
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depends_on:
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mysql:
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condition: service_healthy
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image: ${RAGFLOW_IMAGE}
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container_name: ragflowplus-server
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ports:
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- ${SVR_HTTP_PORT}:9380
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- 80:80
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- 443:443
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volumes:
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- ./ragflow-logs:/ragflow/logs
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- ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
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- ./nginx/proxy.conf:/etc/nginx/proxy.conf
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- ./nginx/nginx.conf:/etc/nginx/nginx.conf
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env_file: .env
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environment:
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- TZ=${TIMEZONE}
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- HF_ENDPOINT=${HF_ENDPOINT}
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- MACOS=${MACOS}
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networks:
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- ragflow
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restart: on-failure
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extra_hosts:
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- "host.docker.internal:host-gateway"
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# 后台信息管理系统前端
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management-frontend:
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container_name: ragflowplus-management-frontend
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image: ${RAGFLOWPLUS_MANAGEMENT_WEB_IMAGE}
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volumes:
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- ./nginx/management_nginx.conf:/etc/nginx/conf.d/default.conf
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ports:
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- "8888:80"
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depends_on:
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- management-backend
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environment:
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- API_BASE_URL=/api
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networks:
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- ragflow
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restart: on-failure
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extra_hosts:
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- "host.docker.internal:host-gateway"
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# 后台信息管理系统后端
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management-backend:
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container_name: ragflowplus-management-backend
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image: ${RAGFLOWPLUS_MANAGEMENT_SERVER_IMAGE}
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ports:
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- "5000:5000"
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volumes:
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- ./magic-pdf.json:/root/magic-pdf.json
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depends_on:
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mysql:
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condition: service_healthy
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es01:
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condition: service_healthy
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environment:
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- FLASK_ENV=development
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- CORS_ALLOWED_ORIGINS=http://management-frontend
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- MANAGEMENT_ADMIN_USERNAME=${MANAGEMENT_ADMIN_USERNAME:-admin}
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- MANAGEMENT_ADMIN_PASSWORD=${MANAGEMENT_ADMIN_PASSWORD:-12345678}
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- MANAGEMENT_JWT_SECRET=${MANAGEMENT_JWT_SECRET:-12345678}
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networks:
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- ragflow
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restart: on-failure
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extra_hosts:
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- "host.docker.internal:host-gateway"
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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capabilities: [gpu]
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# vllm 嵌入模型
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vllm-bge:
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container_name: vllm-bge
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image: vllm/vllm-openai:latest
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ipc: host
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volumes:
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- ./models/bge-m3:/models
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command: [
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"--model", "/models",
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"--served-model-name", "bge-m3",
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"--dtype", "float16",
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"--gpu-memory-utilization", "0.9",
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]
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ports:
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- "8000:8000"
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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capabilities: [gpu]
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networks:
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- ragflow
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# vllm 语言模型
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vllm-deepseek:
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container_name: vllm-deepseek
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image: vllm/vllm-openai:latest
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ipc: host
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volumes:
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- ./models/DeepSeek-R1-1.5B:/models
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command: [
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"--model", "/models",
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"--served-model-name", "deepseek-r1",
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"--dtype", "float16",
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"--tensor-parallel-size", "1",
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"--max-model-len", "4096"
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]
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ports:
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- "8001:8000"
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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capabilities: [gpu]
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networks:
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- ragflow |