What's New in Milvus version 2.2.5
What's New in Milvus version 2.2.5
We are proud to announce the release of Milvus 2.2.5 on behalf of the Milvus community. The 2.2.5 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#225
- 🐳 Docker Image: docker pull
- 🚀 Release: https://github.com/milvus-io/milvus/releases/tag/v2.2.5
One of the highlights of this release is a applying a security fix for MinIO (MinIO CVE-2023-28432) by updating to the latest MinIO release (RELEASE.2023-03-20T20-16-18Z). In addition, there were several enhancements added including the following feature:
- First/Random replica selection policy — This First/Random replica selection policy selects replicas in a round-robin fashion. If the first replica chosen fails, the policy will randomly select another replica for the operation, improving the throughput by reducing the time it takes to complete.
Please note that there are several bug fixes and performance enhancements in the Milvus 2.2.5 release, so check out the release notes for more details.
Summary
In addition to all of the features listed above, Milvus 2.2.5 includes several bug fixes and improvements. To learn more:
See the release notes for version 2.2.5 for the complete list of changes Download Milvus and get started
Keep Reading

Zilliz Cloud Now Available in AWS Asia Pacific (Seoul)
Zilliz Cloud is now available in AWS Seoul — low-latency vector search, in-country data residency, and one-step migration for Korean AI teams. 31 regions across 5 clouds.

Top 10 Context Engineering Techniques You Should Know for Production RAG
A practical guide to context engineering for production LLM systems, covering RAG, context processing, memory, agents, and multimodal context.

What is the K-Nearest Neighbors (KNN) Algorithm in Machine Learning?
KNN is a supervised machine learning technique and algorithm for classification and regression. This post is the ultimate guide to KNN.



