infiniflow / ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
https://ragflow.io
Apache License 2.0
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[Question]: Parsing file is too slow. #1019

Open ctjian opened 4 months ago

ctjian commented 4 months ago

Describe your problem

image 如图,一直在解析中

KevinHuSh commented 4 months ago

Is it on the demo or locally deployed? Cancel it and redo.

ctjian commented 4 months ago

Is it on the demo or locally deployed? Cancel it and redo.

yes, it is locally deployed. Redo still doesn't work.

ShaswatPanda commented 4 months ago

@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 commented 4 months ago

@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.