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.
Before you begin, make sure that you have Milvus installed on either Zilliz Cloud or your own server.
Milvus Version | Recommended Attu Version |
---|---|
2.4.x | v2.4.8 |
2.3.x | v2.3.5 |
2.2.x | v2.2.8 |
2.1.x | v2.2.2 |
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:v2.4
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.
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:
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
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:dev
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 for details.
Running Attu behind a nginx proxy
If you prefer to use a desktop application, you can download the desktop version of Attu.
- Dev:
yarn run build:dev
- Release:
yarn run build:release
- 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
- Mac M chip install app failed: attu.app is damaged and cannot be opened.
sudo xattr -rd com.apple.quarantine /Applications/attu.app
- TBD
create collection | collection tree |
---|---|
collection overview | data view |
---|---|
vector search | system view |
---|---|
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:
- Fork and clone the Attu repository.
- Navigate to the server directory by running
cd server
in the terminal. - Install dependencies by running
yarn install
. - To start the server in development mode, run
yarn start
. - Create a new branch for your PR by running
git checkout -b my-branch
.
- Fork and clone the Attu repository.
- Navigate to the client directory by running
cd client
in the terminal. - Install dependencies by running
yarn install
. - To start the server in development mode, run
yarn start
. - Create a new branch for your PR by running
git checkout -b my-branch
.
- Make changes and ensure that tests pass.
- Commit changes and push to your fork.
- Create a Pull Request targeting the main branch of Attu.
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.
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 |
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 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!