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
Chris ChuriloChris 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.
Start Free, Scale Easily
Try the fully-managed vector database built for your GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
Selecting the Right ETL Tools for Unstructured Data to Prepare for AI
Learn the right ETL tools for unstructured data to power AI. Explore key challenges, tool comparisons, and integrations with Milvus for vector search.
Vector Databases vs. In-Memory Databases
Use a vector database for AI-powered similarity search; use an in-memory database for ultra-low latency and high-throughput data access.
The AI Revolution in Marketing: How Vector Databases Are Unlocking True Personalization
Explore how vector databases and AI are transforming marketing platforms, enabling real-time personalization and predictive analytics while balancing automation with creativity.