它是在演示还是本地部署？
取消它并重新做。

它在演示中还是本地部署的？取消并重新执行。
是的，它是本地部署的。重新执行仍然不起作用。

@ctjian deploy with GPU; parsing is exponentially faster. Change your docker-compose to this:

include:
  - path: ./docker-compose-base.yml
    env_file: ./.env

services:
  ragflow:
    depends_on:
      mysql:
        condition: service_healthy
      es01:
        condition: service_healthy
    image: infiniflow/ragflow:${RAGFLOW_VERSION}
    container_name: ragflow-server
    deploy:
      resources:
        reservations:
          devices:
          - driver: nvidia
            device_ids: ['0']
            capabilities: [gpu]
    ports:
      - ${SVR_HTTP_PORT}:9380
      - 80:80
      - 443:443
    volumes:
      - ./service_conf.yaml:/ragflow/conf/service_conf.yaml
      - ./ragflow-logs:/ragflow/logs
      - ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
    environment:
      - TZ=${TIMEZONE}
      - HF_ENDPOINT=https://huggingface.co
    networks:
      - ragflow
    restart: always

@ctjian deploy with GPU; parsing is exponentially faster. Change your docker-compose to this:

include:
  - path: ./docker-compose-base.yml
    env_file: ./.env

services:
  ragflow:
    depends_on:
      mysql:
        condition: service_healthy
      es01:
        condition: service_healthy
    image: infiniflow/ragflow:${RAGFLOW_VERSION}
    container_name: ragflow-server
    deploy:
      resources:
        reservations:
          devices:
          - driver: nvidia
            device_ids: ['0']
            capabilities: [gpu]
    ports:
      - ${SVR_HTTP_PORT}:9380
      - 80:80
      - 443:443
    volumes:
      - ./service_conf.yaml:/ragflow/conf/service_conf.yaml
      - ./ragflow-logs:/ragflow/logs
      - ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
    environment:
      - TZ=${TIMEZONE}
      - HF_ENDPOINT=https://huggingface.co
    networks:
      - ragflow
    restart: always

Thank you. Problem solved.