Get Started
This chapter provides materials for you to get started with Zilliz Cloud.
Register with Zilliz Cloud [READ MORE]
This guide provides comprehensive instructions on how to create an account for accessing Zilliz Cloud services.
Quickstart to Serving Cluster [READ MORE]
A serving cluster is a self-contained server that combines both compute and storage for real-time production serving. Once you have cleaned your data through your Extract-Transform-Load (ETL) pipelines, you can import it into a serving cluster to deliver significant performance gains.
Quickstart to On-Demand Search [READ MORE]
Zilliz Cloud provides on-demand compute resources, allowing you to run similarity searches and queries on demand. You pay only for the resources you use and can shut down clusters at no cost when you do not need them.
Quickstart to External Data Lake Search [READ MORE]
External data lake search lets you search massive datasets with zero-copy access to data in external storage or imported into Zilliz Cloud, without keeping compute resources running continuously. You can create collections from external volumes or imported files, build indexes and refresh metadata via the project data plane endpoint, and start an on-demand cluster only when you need to run search or query workloads.
Concepts [READ MORE]
Explanations about the common terms we use when discussing how to use Zilliz Cloud.
Try Zilliz Cloud For Free [READ MORE]
Zilliz Cloud offers both free cluster and free trial to help you evaluate or test the powerful vector database features and estimate costs of using Zilliz Cloud. To start, simply register an account on Zilliz Cloud. No payment information is required.
Resource Planning [READ MORE]
Topics related to resource planning before you move your data to Zilliz Cloud.
Best Practices [READ MORE]
You can find articles on the best practices when using Zilliz Cloud.
API & SDKs [READ MORE]
This chapter provides access to the procedure for using or installing RESTful API and SDKs and their reference docs.
MCP Server [READ MORE]
Zilliz Cloud provides an MCP server](https//github.com/zilliztech/zilliz-mcp-server/tree/master) that enables AI agents to interact with Zilliz Cloud seamlessly through the standardized [Model Context Protocol (MCP). This page guides you through setting up the Zilliz MCP Server locally and using it with your preferred AI agents.
Terraform Provider [READ MORE]
Zilliz offers a fully managed Milvus service, streamlining the deployment and scaling of vector search applications with security in mind, and eliminating the need to build and maintain complex infrastructure, including both the cloud infrastructure Zilliz provides and your own.
Feature Availability [READ MORE]
Last updated Oct 13, 2025
Release Notes [READ MORE]
You can find the history of Zilliz Cloud releases in these docs.