本站面向开发者与科研用户,提供开源镜像的搜索和下载加速服务。
所有镜像均来源于原始开源仓库,本站不存储、不修改、不传播任何镜像内容。

attu Docker 镜像下载 - 轩辕镜像

attu 镜像详细信息和使用指南

attu 镜像标签列表和版本信息

attu 镜像拉取命令和加速下载

attu 镜像使用说明和配置指南

Docker 镜像加速服务 - 轩辕镜像平台

国内开发者首选的 Docker 镜像加速平台

极速拉取 Docker 镜像服务

相关 Docker 镜像推荐

热门 Docker 镜像下载

attu
zilliz/attu

attu 镜像详细信息

attu 镜像标签列表

attu 镜像使用说明

attu 镜像拉取命令

Docker 镜像加速服务

轩辕镜像平台优势

镜像下载指南

相关 Docker 镜像推荐

Milvus GUI
15 收藏0 次下载activezilliz镜像

attu 镜像详细说明

attu 使用指南

attu 配置说明

attu 官方文档

Attu

![typescript]([] ![downloads]([]

Attu is an all-in-one milvus administration tool. With Attu, you can dramatically reduce the cost of managing milvus.

attu home view

Installation Guides

Before you begin, make sure that you have Milvus installed on either Zilliz Cloud or your own server.

Compatibility

Milvus VersionRecommended Attu Version
2.5.xv2.5.6
2.4.xv2.4.12
2.3.xv2.3.5
2.2.xv2.2.8
2.1.xv2.2.2

Running Attu from Docker

Here are the steps to start a container for running Attu:

code
docker run -p 8000:3000 -e MILVUS_URL={milvus server IP}:*** zilliz/attu:v2.4

Make sure that the Attu container can access the Milvus IP address. After starting the container, open your web browser and enter http://{ Attu IP }:8000 to view the Attu GUI.

Optional Environment Variables for Running Attu Docker

ParameterExampleRequiredDescription
MILVUS_URL192.168.0.1:***falseOptional, Milvus server URL
ATTU_LOG_LEVELinfofalseOptional, sets the log level for Attu
ROOT_CERT_PATH/path/to/root/certfalseOptional, path to the root certificate
PRIVATE_KEY_PATH/path/to/private/keyfalseOptional, path to the private key
CERT_CHAIN_PATH/path/to/cert/chainfalseOptional, path to the certificate chain
SERVER_NAMEyour_server_namefalseOptional, name of your server
SERVER_PORTServer listen portfalseOptional, 3000 by default if unset

Please note that the MILVUS_URL should be an address that the Attu Docker container can access. Therefore, "127.0.0.1" or "localhost" will not work.

To run the Docker container with these environment variables, use the following command:

Attu SSL Example

bash
docker run -p 8000:3000 \
-v /your-tls-file-path:/app/tls \
-e ATTU_LOG_LEVEL=info  \
-e ROOT_CERT_PATH=/app/tls/ca.pem \
-e PRIVATE_KEY_PATH=/app/tls/client.key \
-e CERT_CHAIN_PATH=/app/tls/client.pem \
-e SERVER_NAME=your_server_name \
zilliz/attu:dev

Custom Server Port Example

This command lets you run the docker container with host networking, specifying a custom port for the server to listen on

bash
docker run --network host \
-v /your-tls-file-path:/app/tls \
-e ATTU_LOG_LEVEL=info  \
-e SERVER_NAME=your_server_name \
-e SERVER_PORT=8080 \
zilliz/attu:dev

Running Attu within Kubernetes

Before you begin, make sure that you have Milvus installed and running within your K8's Cluster. Note that Attu only supports Milvus 2.x.

Here are the steps to start a container for running Attu:

code
kubectl apply -f [***]

Make sure that the Attu pod can access the Milvus service. In the example provided this connects directly to my-release-milvus:***. Change this based on the Milvus service name. A more flexible way to achieve this would be to introduce a ConfigMap. See this example for details.

Install Desktop application

If you prefer to use a desktop application, you can download the desktop version of Attu.

Build Docker Image Locally

  • Dev: yarn run build:dev
  • Release: yarn run build:release

FAQ

  • I can't log into the system

    Make sure that the IP address of the Milvus server can be accessed from the Attu container. #161

  • TBD

More Screenshots

Data viewcollection tree
attuattu
create collectionvector search
attuattu

✨ Contributing Code

Thank you for your interest in contributing to Attu! Here's how you can build Attu locally to contribute code, test out the latest features, or try out an open PR:

Build the Server

  1. Fork and clone the Attu repository.
  2. Navigate to the server directory by running cd server in the terminal.
  3. Install dependencies by running yarn install.
  4. To start the server in development mode, run yarn start.
  5. Create a new branch for your PR by running git checkout -b my-branch.

Build the Client

  1. Fork and clone the Attu repository.
  2. Navigate to the client directory by running cd client in the terminal.
  3. Install dependencies by running yarn install.
  4. To start the server in development mode, run yarn start.
  5. Create a new branch for your PR by running git checkout -b my-branch.

Submitting a Pull Request

  1. Make changes and ensure that tests pass.
  2. Commit changes and push to your fork.
  3. Create a Pull Request targeting the main branch of Attu.

We appreciate your contributions to Attu, regardless of size. Thanks for supporting the project!

❓ Do you have any questions or problems?

If you encounter any bugs or want to request a new feature, please create a GitHub issue. It's important to check if someone else has already created an issue for the same problem before submitting a new one.

Userful links

Here are some helpful resources to get you started with Milvus:

  • Milvus documentation: Here, you can find detailed information on how to use Milvus, including installation instructions, tutorials, and API documentation.
  • Milvus python SDK: The Python SDK allows you to interact with Milvus using Python. It provides a simple and intuitive interface for creating and querying vectors.
  • Milvus Java SDK: The Java SDK is similar to the Python SDK but designed for Java developers. It also provides a simple and intuitive interface for creating and querying vectors.
  • Milvus Go SDK: The Go SDK provides a Go API for Milvus. If you're a Go developer, this is the SDK for you.
  • Milvus Node SDK: The Node SDK provides a Node.js API for Milvus. If you're a Node.js developer, this is the SDK for you.
  • Feder: Feder is a JavaScript tool designed to aid in the comprehension of embedding vectors.

Community

💬 Join our vibrant community on the Milvus *** where you can share your knowledge, ask questions and engage in meaningful conversations. It's not just about coding, it's about connecting with other like-minded individuals. Click the link below to join now!

license

用户好评

来自真实用户的反馈,见证轩辕镜像的优质服务

oldzhang的头像

oldzhang

运维工程师

Linux服务器

5

"Docker加速体验非常流畅,大镜像也能快速完成下载。"