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Attu is an all-in-one milvus administration tool. With Attu, you can dramatically reduce the cost of managing milvus.
If you prefer to use a desktop application, you can download the desktop version of Attu.
Before you begin, make sure that you have Milvus installed on either your server or Zilliz Cloud. Note that Attu only supports Milvus 2.x and some of the features are not supported yet for Zilliz Cloud.
Here are the steps to start a container for running Attu:
docker run -p 8000:3000 -e MILVUS_URL={milvus server IP}:19530 zilliz/attu:latest
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.
Parameter | Example | Required | Description |
---|---|---|---|
MILVUS_URL | 192.168.0.1:19530 | false | Optional, Milvus server URL |
Note that "127.0.0.1" or "localhost" will not work when running Attu on Docker.
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:
cd server
in the terminal.yarn install
.yarn start
.git checkout -b my-branch
.cd client
in the terminal.yarn install
.yarn start
.git checkout -b my-branch
.We appreciate your contributions to Attu, regardless of size. Thanks for supporting the project!
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.
If you're new to Milvus, it is an open-source vector database that has been designed to power AI applications and embedding similarity search. It is a powerful tool that allows you to handle vast amounts of data with ease.
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.
💬 Join our vibrant community on the Milvus Slack Channel 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!
<img src="https://assets.zilliz.com/readme_slack_4a07c4c92f.png" alt="Miluvs Slack Channel" height="150" width="500">
Also, don't forget to check out our documentation and GitHub repositories for more resources and information. We look forward to seeing you on the channel!