What's New in Milvus 2.2.10 and 2.2.11

We are excited to announce the release of Milvus versions 2.2.10 and 2.2.11! These latest versions come loaded with numerous enhancements that significantly improve the product's functionality and user experience. We have incorporated feedback from our community of users and made updates to enhance the performance and user experiences further! This blog post will highlight some of the more prominent features. For a complete list of changes, please check the release notes.
📦 PyPI: https://pypi.org/project/milvus/
📚 Docs: https://milvus.io/docs
🛠️ Release Notes:
🐳 Docker Image: docker pull
🚀 Release: milvus-2.2.11
We are continuously enhancing RBAC to expand the security functionalities across different aspects of the system. In version 2.2.10, we introduced the 'FlushAll' function and Database API to the RBAC capabilities. These updates offer improved control over permissions and access to sensitive operations, ultimately enhancing the system's overall security.
Additionally, both versions, 2.2.10 and 2.2.11, introduced several optimizations and upgrades. Notably, in version 2.2.11, we optimized disk usage for RocksMq by enabling zstd compression starting from level 2. This enhancement significantly improves storage efficiency. Additionally, in version 2.2.10, we made a major improvement by replacing the CGO payload writer with a Go payload writer. This change reduced memory usage, leading to improved system performance and stability.
Please note that there are several bug fixes and performance enhancements in the Milvus 2.2.10 & 2.2.1 releases, so check out the release notes for more details.
Summary
In addition to all of the features listed above, Milvus 2.2.10 & 2.2.11 include several bug fixes and improvements. To learn more:
See the release notes for version 2.2.10 & version 2.2.11 for the complete list of changes Download Milvus and get started.
- Summary
Content
Start Free, Scale Easily
Try the fully-managed vector database built for your GenAI applications.
Try Zilliz Cloud for FreeKeep Reading

Milvus 2.6.x Now Generally Available on Zilliz Cloud, Making Vector Search Faster, Smarter, and More Cost-Efficient for Production AI
Milvus 2.6.x is now GA on Zilliz Cloud, delivering faster vector search, smarter hybrid queries, and lower costs for production RAG and AI applications.

VidTok: Rethinking Video Processing with Compact Tokenization
VidTok tokenizes videos to reduce redundancy while preserving spatial and temporal details for efficient processing.

Long List of Awesome DeepSeek Integrations You Should Know
Discover how DeepSeek's affordable AI ecosystem challenges Silicon Valley giants with powerful integrations for developers and businesses—from RAG systems to productivity tools, all at 90% lower cost.