
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
The official scann docker image.
Maintained by: openEuler CloudNative SIG.
Where to get help: openEuler CloudNative SIG, openEuler.
ScaNN (Scalable Nearest Neighbors) is a method for efficient vector similarity search at scale. This code implements search space pruning and quantization for Maximum Inner Product Search and also supports other distance functions such as Euclidean distance. The implementation is optimized for x86 processors with AVX support. ScaNN achieves state-of-the-art performance on ann-benchmarks.com.
The tag of each scann docker image is consist of the version of scann and the version of basic image. The details are as follows
| Tags | Currently | Architectures |
|---|---|---|
| 1.4.2-oe2403sp3 | scann 1.4.2 on openEuler 24.03-lts-sp3 | amd64, arm64 |
docker pull openeuler/scann:{Tag} docker run --rm openeuler/scann:{Tag} python3 -c "import scann; print('ok')"
If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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