Welcome to Zilliz Cloud! This entry-level guide designed for database administrators and architects will help you navigate the Zilliz Cloud interface and introduce you to some of our core capabilities. Sign up for a free 30-day trial of Zilliz Cloud and follow along with this lab exercise. Once we cover the basics, you'll be ready to start processing your own vector data and diving into Zilliz Cloud more advanced features like a pro.
Prerequisites:
- Use of the Sign up for a free 30-day trial of Zilliz Cloud
- Basic knowledge of vector embeddings, database concepts
- Familiarity with CSV comma-delimited files and JSON semi-structured data
What you'll learn:
- How to create vector database
- How to manage network access to the vector database
- How to create vector database users
- How to insert vector embeddings into vector database
- How to perform vector search on data in Zilliz Cloud
If you haven't already, register for a free 30-day trial of Zilliz Cloud. The rest of the sections in this tutorial assume you are using a new Zilliz Cloud account created by registering for a trial. In the beta release, you are able to deploy a vector database on AWS us-west-2 Oregon. After registering, you will be able to access the Zilliz Cloud console.
About the screenshots, sample code, and environment Sc screenshots in this tutorial depict examples and results that may vary slightly from what you see when you complete the exercises.
Logging into the Zilliz Cloud user Interface (UI)
Open a browser window and login into Zilliz Cloud. You should see the following login dialog. Enter the username and password that you specified during the registration:
Navigating the Zilliz Cloud UI
Let's get you acquainted with Zilliz Cloud! This section covers the basic components of the user interface. We will move from top to bottom on the left-hand side margin.
Projects
Events
The Events provides an interface for viewing all your operational events from Zilliz Cloud. 
Databases
Under project, the vector database tab shows information about the vector databases you have created. You can create and delete databases in the UI. 
Once you create a vector database, you will see it on the table. 
Network access
On network access tab, you can see the ip or CIDR allowed to visit the vector database, and all the settings will be applied on the project level. 
Database overview
Click on the created vector database, you can see a database overview page, it contains information that you need to connect to the database and metrics showing the running stats of the vector database. 
Database users
In this tab, you can add a user to your vector database. 
Click create database, set your database name and type and a root password, then, click Create vector database button.
You'll be redirected to the home page, and there is an INITIALIZING vector database.
Once it finishes, you can click on the vector database name to see the details. There is endpoint, metrics, and other information on the page . All you need is the Cloud endpoint.
Download example repo
git clone https://github.com/zilliztech/Cloud-vectordb-examples.git
Install Python client
pip install -i https://test.pypi.org/simple/ pymilvus==2.1.0.dev98
Go to python folder
cd Cloud-vectordb-examples
cd python
Modify configuration
uri = in01-xxxxxxxxxxxxx.aws-ap-southeast-1.vectordb-sit.zillizCloud.com
port = 19530
user = your-username
password = your-password
Python hello_milvus.py
It should print information on the console
totally insert 100000 entities cost 86 seconds
collection book entities: 100000
collection book load in 3.674 seconds
search 0 latency: 0.167 seconds
search 1 latency: 0.168 seconds
search 2 latency: 0.171 seconds