Blog
What’s New In Milvus 2.2.4

What’s New In Milvus 2.2.4

Mar 18, 20231 min read

We are proud to announce the release of Milvus 2.2.4 on behalf of the Milvus community. The 2.2.4 release contains a few new features and many improvements. This blog post will highlight some of the more prominent features. For a complete list of changes, check the release notes.

📦 PyPI: https://pypi.org/project/milvus/
📚 Docs: https://milvus.io/docs
🛠️ Release Notes: https://milvus.io/docs/release_notes.md#224
🐳 Docker Image: docker pull milvusdb/milvus
🚀 Release: https://github.com/milvus-io/milvus/releases/tag/v2.2.4

One of the highlights of this release is the introduction of resource grouping for QueryNodes. Resource grouping means isolating specific query nodes from others, providing better resource management and improved performance. With resource grouping in a multi-tenant scenario, you can allocate an appropriate number of query nodes to each tenant so that the operations within each resource group are physically independent of those in other resource groups.

In addition, there were several enhancements added to the following features:

Collection renaming — You can now rename a Collection using the collection-renaming API.
Google Cloud Storage support — Milvus now supports Google Cloud Storage as the object store for your unstructured data.
New option (kwargs: ignore_growing) for both the search and query APIs — If you are more concerned with performance than data freshness, enabling this option will skip search on all growing segments and offer better search performance under the scenario search with insertion. You can find more information about segment compaction in this blog.

Please note that there are several bug fixes and performance enhancements in the Milvus 2.2.4 release, so check out the release notes for more details.

Summary

In addition to all of the features listed above, Milvus 2.2.4 includes several bug fixes and improvements. To learn more:

See the release notes for version 2.2.4 for the complete list of changes
Download Milvus and get started

Updated on Jul 21, 2026

Chris Churilo
Chris Churilo is the VP of Marketing & Community at Zilliz where she leads all community, developer relations, and marketing efforts. Prior to Zilliz, Chris was a founding member of the InfluxData’s go to market efforts and helped propel the time series database platform to dominance in the market. In earlier roles she defined and designed a SaaS monitoring solution at Centroid, and prior to that she was the VP of product management at iPass and was the LOB for several cloud services that required her to track the business and operational metrics and analytics to help identify and resolve issues.

Keep Reading

Why We Built Vector Lakebase: Rethinking Unstructured Data Architecture for AI

Vector Lakebase: a unified, lake-native data foundation for AI workloads — and an answer to what happens after vector databases succeed.

Zilliz Cloud Launches in AWS Australia, Expanding Global Reach to Australia and Neighboring Markets

We're thrilled to announce that Zilliz Cloud is now available in the AWS Sydney, Australia region (ap-southeast-2).

VidTok: Rethinking Video Processing with Compact Tokenization

VidTok tokenizes videos to reduce redundancy while preserving spatial and temporal details for efficient processing.