Milvus 2.2.6: New Features and Updates

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.
Start Free, Scale Easily
Try the fully-managed vector database built for your GenAI applications.
Try Zilliz Cloud for FreeKeep Reading

How Zilliz Saw the Future of Vector Databases—and Built for Production
Zilliz anticipated vector databases early, building Milvus to bring scalable, reliable vector search from research into production AI systems.

Zilliz Cloud Delivers Better Performance and Lower Costs with Arm Neoverse-based AWS Graviton
Zilliz Cloud adopts Arm-based AWS Graviton3 CPUs to cut costs, speed up AI vector search, and power billion-scale RAG and semantic search workloads.

Legal Document Analysis: Harnessing Zilliz Cloud's Semantic Search and RAG for Legal Insights
Zilliz Cloud transforms legal document analysis with AI-driven Semantic Search and Retrieval-Augmented Generation (RAG). By combining keyword and vector search, it enables faster, more accurate contract analysis, case law research, and regulatory tracking.
