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docker pull weaviate 国内拉取失败的问题

news 2025/7/27 5:07:43

我是校内网，尝试了

改镜像源

(cooragent) ruiy@CJQ:~/sdb/B/cooragent$ sudo vim /etc/docker/daemon.json
[sudo] password for ruiy:
(cooragent) ruiy@CJQ:~/sdb/B/cooragent$ sudo service docker restart
(cooragent) ruiy@CJQ:~/sdb/B/cooragent$ sudo docker info

Registry Mirrors:
https://registry.docker-cn.com/
http://hub-mirror.c.163.com/
https://docker.mirrors.ustc.edu.cn/
https://kfwkfulq.mirror.aliyuncs.com/
Live Restore Enabled: false

但是对于拉去 weaviate 没用，

ｗｅａｖｉａｔｅ　向量库有个图存储想试试效果

尝试多次无果

ｃｈａｔｇｐｔ建议通过下载　本地安装，

但是没找到　ｗｅａｖｉａｔｅ　的ｄｏｃｋｅｒ　镜像

解决方法

最后终于找到这个镜像拉去成功

wdocker.io/semitechnologies/weaviate 项目中国可用镜像列表 | 高速可靠的 Docker 镜像资源

拉去命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/semitechnologies/weaviate:1.31.0

官网　ｄｏｃｋｅｒ配置

1.1 Create a Weaviate database

Save the following code to a file named docker-compose.yml in your project directory.

ｉｍａｇｅ　修改成上面给的

＃volumes　是你想存储的卷地址　

＃PERSISTENCE_DATA_PATH　持久数据地址　　　这两个地址按照需求修改好

---
services:weaviate:command:- --host- 0.0.0.0- --port- '8080'- --scheme- httpimage: cr.weaviate.io/semitechnologies/weaviate:1.32.0ports:- 8080:8080- 50051:50051volumes:- weaviate_data:/var/lib/weaviaterestart: on-failure:0environment:QUERY_DEFAULTS_LIMIT: 25AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'true'PERSISTENCE_DATA_PATH: '/var/lib/weaviate'ENABLE_API_BASED_MODULES: 'true'ENABLE_MODULES: 'text2vec-ollama,generative-ollama'CLUSTER_HOSTNAME: 'node1'
volumes:weaviate_data:
...

Run the following command to start a Weaviate instance using Docker:

docker-compose up -d

1.2 Install a client library

We recommend using a client library to work with Weaviate. Follow the instructions below to install one of the official client libraries, available in Python, JavaScript/TypeScript, Go, and Java.

Python

Install the latest, Python client v4, by adding weaviate-client to your Python environment with pip:

pip install -U weaviate-client

1.3: Connect to Weaviate

Now you can connect to your Weaviate instance.

The example below shows how to connect to Weaviate and perform a basic operation, like checking the cluster status.

Python

quickstart_check_readiness.py

import weaviateclient = weaviate.connect_to_local()print(client.is_ready())  # Should print: `True`client.close()  # Free up resources

pythoｎ　运行有个true　就连上了，

编辑 API docs

If you did not see any errors, you are ready to proceed. We will replace the simple cluster status check with more meaningful operations in the next steps.

接下来熟悉操作

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