Blog
Milvus 2.2.6: New Features and Updates

Milvus 2.2.6: New Features and Updates

Apr 29, 20230 min read

What's New in Milvus version 2.2.6

We strongly advise against using Milvus version 2.2.5 due to some critical issues addressed in version 2.2.6. 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#226
🐳 Docker Image: docker pull
🚀 Release: https://github.com/milvus-io/milvus/releases/tag/v2.2.6

Please note that there are several bug fixes and performance enhancements in the Milvus 2.2.6 release, so check out the release notes for more details.

Updated on Jun 12, 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

How Zilliz Ended Up at the Center of NVIDIA’s Unstructured Data Story at GTC 2026

If unstructured data is the context of AI, then the ceiling of AI applications will be set not just by models, but by how mature the infrastructure for unstructured data becomes.

Vector Databases vs. Time Series Databases

Use a vector database for similarity search and semantic relationships; use a time series database for tracking value changes over time.

Vector Databases vs. Hierarchical Databases

Use a vector database for AI-powered similarity search; use a hierarchical database for organizing data in parent-child relationships with efficient top-down access patterns.