部署Docker&使用Docker在OpenEuler服务器配置RAGFlow

原创

happywei

修改于 2025-06-04 06:47:39

6600

docker下载网站：https://download.docker.com/linux/static/stable/

mkdir /project && cd /project
wget https://download.docker.com/linux/static/stable/x86_64/docker-28.0.1.tgz
tar -xvf docker-28.0.1.tgz

# 赋予执行权限
chmod 755 -R docker
# copy到bin目录
cp docker/* /usr/bin/
# 删除原始文件
rm -rf docker-28.0.1.tgz
rm -rf docker

注册docker为系统服务

vim /etc/systemd/system/docker.service

覆盖原来的文件

[Unit]
Description=Docker Application Container Engine
Documentation=https://docs.docker.com
After=network-online.target firewalld.service
Wants=network-online.target
[Service]
Type=notify
ExecStart=/usr/bin/dockerd
ExecReload=/bin/kill -s HUP $MAINPID
TimeoutSec=0
RestartSec=2
ExecStartPost=/usr/sbin/iptables -P FORWARD ACCEPT
Restart=always
TimeoutStartSec=0
LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity
Delegate=yes
KillMode=process
StartLimitBurst=3
StartLimitInterval=60s
[Install]
WantedBy=multi-user.target

配置国内镜像源

vim /etc/docker/daemon.json

覆盖原来的文件

{
  "registry-mirrors": [
    "https://docker.registry.cyou",
    "https://docker-cf.registry.cyou",
    "https://dockercf.jsdelivr.fyi",
    "https://docker.jsdelivr.fyi",
    "https://dockertest.jsdelivr.fyi",
    "https://mirror.aliyuncs.com",
    "https://dockerproxy.com",
    "https://mirror.baidubce.com",
    "https://docker.m.daocloud.io",
    "https://docker.nju.edu.cn",
    "https://docker.mirrors.sjtug.sjtu.edu.cn",
    "https://docker.mirrors.ustc.edu.cn",
    "https://mirror.iscas.ac.cn",
    "https://docker.rainbond.cc"
  ]
}

至此docker安装完成，可以直接启动docker或检查是否安装成功

docker --version
# 启动docker
systemctl start docker

2.安装docker-compose

sudo curl -L "https://github.com/docker/compose/releases/download/v2.17.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose

设置权限

sudo chmod +x /usr/local/bin/docker-compose

是否安装成功：

docker-compose --version

运行下面这段代码报错：

docker-compose -f docker-compose.yml up -d

WARNING: The HF_ENDPOINT variable is not set. Defaulting to a blank string.
WARNING: The MACOS variable is not set. Defaulting to a blank string.
ERROR: The Compose file './docker-compose.yml' is invalid because:
'include' does not match any of the regexes: '^x-'

解决方法：

卸载docker-compose，手动安装aarch64-github最新版本

sudo apt remove docker-compose -y
wget https://ghproxy.com/https://github.com/docker/compose/releases/download/v2.32.4/docker-compose-linux-aarch64

移动到系统目录

mv docker-compose-linux-aarch64 /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
docker-compose --version

重新运行刚刚这段代码，等待下载镜像

docker-compose -f docker-compose.yml up -d

ragflow-server下载失败...

linux上安装Ollama：

docker run --name ollama -p 11434:11434 ollama/ollama

确保Ensure Ollama is listening on all IP address:

sudo ss -tunlp | grep 11434

运行ollama

docker start ollama  
docker ps-a

拉模型

(llm) [root@localhost deep-searcher]# sudo docker exec ollama ollama pull qwen3:0.6b
pulling manifest 
pulling 7f4030143c1c: 100% ▕██████████████████▏ 522 MB                         
pulling eb4402837c78: 100% ▕██████████████████▏ 1.5 KB                         
pulling d18a5cc71b84: 100% ▕██████████████████▏  11 KB                         
pulling cff3f395ef37: 100% ▕██████████████████▏  120 B                         
pulling b0830f4ff6a0: 100% ▕██████████████████▏  490 B                         
verifying sha256 digest 
writing manifest 
success

(llm) [root@localhost Qwen]# sudo docker exec ollama ollama pull bge-m3 
pulling manifest 
pulling daec91ffb5dd: 100% ▕██████████████████▏ 1.2 GB                         
pulling a406579cd136: 100% ▕██████████████████▏ 1.1 KB                         
pulling 0c4c9c2a325f: 100% ▕██████████████████▏  337 B                         
verifying sha256 digest 
writing manifest 
success

如果 RAGFlow 在 Docker 中运行，则 localhost 在 RAGFlow Docker 容器内将映射为 host.docker.internal。如果 Ollama 在同一主机上运行，则 Ollama 的正确 URL 应为“http://host.docker.internal:11434/”，并且您应该使用以下命令检查是否可以从 RAGFlow 容器内部访问 Ollama：

$ sudo docker exec -it ragflow-server bash
$ curl http://host.docker.internal:11434/
> Ollama is running

如果 RAGFlow 是从源代码启动的，并且 Ollama 与 RAGFlow 在同一台主机上运行，请检查是否可以从 RAGFlow 的主机访问 Ollama：

$ curl http://localhost:11434/
> Ollama is running

输入指令但是报错

(llm) [root@localhost docker]# docker compose -f docker-compose.yml up -d
unknown shorthand flag: 'f' in -f

解决方法：

换个指令输入，指令docker-compose up -d

(llm) [root@localhost docker]# docker-compose up -d
WARN[0000] The "HF_ENDPOINT" variable is not set. Defaulting to a blank string. 
WARN[0000] The "MACOS" variable is not set. Defaulting to a blank string. 
[+] Running 5/5
 ✔ Container ragflow-es-01   Running                                                                                                          0.0s 
 ✔ Container ragflow-minio   Running                                                                                                          0.0s 
 ✔ Container ragflow-mysql   Healthy                                                                                                          0.5s 
 ✔ Container ragflow-redis   Running                                                                                                          0.0s 
 ✔ Container ragflow-server  Started

查看状态docker ps -a --format "table {{.ID}}\t{{.Status}}\t{{.Ports}}\t{{.Names}}" | grep ragflow

成功运行

(llm) [root@localhost docker]# docker ps -a --format "table {{.ID}}\t{{.Status}}\t{{.Ports}}\t{{.Names}}" | grep ragflow
201d4acc0c64   Restarting (1) Less than a second ago                                                                   ragflow-server
f8138efb2396   Up 12 minutes (healthy)                 9300/tcp, 0.0.0.0:1200->9200/tcp, :::1200->9200/tcp             ragflow-es-01
cf2271315a21   Up 20 seconds                           0.0.0.0:6379->6379/tcp, :::6379->6379/tcp                       ragflow-redis
264e0b128d89   Up 20 seconds                           0.0.0.0:9000-9001->9000-9001/tcp, :::9000-9001->9000-9001/tcp   ragflow-minio
07b92c713348   Up 20 seconds (healthy)                 33060/tcp, 0.0.0.0:5455->3306/tcp, :::5455->3306/tcp            ragflow-mysql                                                                                                     0.0s

但又出现问题：ragflow-server一直Restarting服务未启动成功，并且无法启动服务，报错如下：

查了很久的文档：

应该是ragflow-server架构的问题

The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8) and no specific platform was requested

查看ragflow-server的架构版本：发现不符合，ragflow-server是amd64架构的，

docker image inspect swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v0.18.0

也没有对应的镜像源来提供下载，需要在openEuler这个系统上使用源码来构建....

(llm) [root@localhost docker]# docker pull --platform=linux/arm64 wqferan/ragflow:v0.14.0-arm64
Error response from daemon: Get "https://registry-1.docker.io/v2/": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)

故得出结论：无法配置！

reference：
https://blog.csdn.net/m0_72313250/article/details/146038917
https://blog.csdn.net/hknaruto/article/details/145668187
https://ragflow.io/docs/dev/deploy_local_llm

原创声明：本文系作者授权腾讯云开发者社区发表，未经许可，不得转载。

如有侵权，请联系 cloudcommunity@tencent.com 删除。

LLM