attu

Attu

Attu is an all-in-one milvus administration tool.

Attu is designed to manage and interact with Milvus, offering features such as:

• Database, Collection, and Partition Management: Efficiently organize and manage your Milvus setup.
• Insertion, Indexing, and Querying of Vector Embeddings: Easily handle Milvus vector data operations.
• Performing Vector Search: Rapidly validate your results using the vector search feature.
• User and Role Management: Easily manage Milvus permissions and security.
• Viewing System Topology: Visualize Milvus system architecture for better management and optimization.

Installation Guides

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

Compatibility

Milvus Version	Recommended Attu Version
2.5.x	v2.5.6
2.4.x	v2.4.12
2.3.x	v2.3.5
2.2.x	v2.2.8
2.1.x	v2.2.2

Running Attu from Docker

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:v2.5

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

Parameter	Example	Required	Description
MILVUS_URL	192.168.0.1:19530	false	Optional, Milvus server URL
DATABASE	your database	false	Optional, default database name
ATTU_LOG_LEVEL	info	false	Optional, sets the log level for Attu
ROOT_CERT_PATH	/path/to/root/cert	false	Optional, path to the root certificate
PRIVATE_KEY_PATH	/path/to/private/key	false	Optional, path to the private key
CERT_CHAIN_PATH	/path/to/cert/chain	false	Optional, path to the certificate chain
SERVER_NAME	your_server_name	false	Optional, name of your server
SERVER_PORT	Server listen port	false	Optional, 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

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:v2.5

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

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:v2.5

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:

kubectl apply -f https://raw.githubusercontent.com/zilliztech/attu/main/attu-k8s-deploy.yaml

Make sure that the Attu pod can access the Milvus service. In the example provided this connects directly to my-release-milvus:19530. Change this based on the Milvus service name. A more flexible way to achieve this would be to introduce a ConfigMap. See this [example]("https://raw.githubusercontent.com/zilliztech/attu/main/examples/attu-k8s-deploy-ConfigMap.yaml") for details.

Running Attu behind a nginx proxy

Running Attu behind a nginx proxy

Install Desktop application

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

Note:

• Mac M chip install app failed: attu.app is damaged and cannot be opened.

  sudo xattr -rd com.apple.quarantine /Applications/attu.app

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
• If you encounter issues installing the desktop app on Mac OS, refer to the note under Install Desktop application.

More Screenshots

create collection	collection tree

collection overview	data view

vector search	system view
role chart

✨ 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.

Useful Examples

Milvus Typescript Examples:This repo provides some simple React apps based on Next.js.

Name	Demo	Model
semantic-search-example	https://zilliz-semantic-search-example.vercel.app	all-MiniLM-L6-v2
semantic-image-search		clip-vit-base-patch16
semantic-image-search-client	https://zilliz-semantic-image-search-client.vercel.app	clip-vit-base-patch16

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 Discord 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!