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.
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
Similarity Metrics for Vector Search
Exploring five similarity metrics for vector search: L2 or Euclidean distance, cosine distance, inner product, and hamming distance.
RocketQA: Optimized Dense Passage Retrieval for Open-Domain Question Answering
RocketQA is a highly optimized dense passage retrieval framework designed to enhance open-domain question-answering (QA) systems.
Building Secure RAG Workflows with Chunk-Level Data Partitioning
Rob Quiros shared how integrating permissions and authorization into partitions can secure data at the chunk level, addressing privacy concerns.