Milvus
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Announcing Milvus 3.0: Lake-Native Vector Search and a More Powerful Retrieval Engine

Discover Milvus 3.0’s lake-native vector search, zero-copy external collections, faster sparse retrieval, snapshots, Spark integration, and advanced ranking capabilities.

AnnouncementsJul 27, 2026

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EngineeringOct 23, 2026

SVS in Milvus: Reshaping the Recall–Memory–Speed Trade-off

EngineeringOct 22, 2026

How to Switch Embedding Models in Milvus Without Rebuilding Your Collection

EngineeringOct 14, 2026

Your Vector Database Already Speaks Hyperbolic

EngineeringOct 13, 2026

Hyperbolic Embeddings in Milvus

EngineeringOct 13, 2026

Hyperbolic Search on Zilliz Cloud

EngineeringOct 13, 2026

What Hyperbolic Geometry Does to Ranking

EngineeringOct 12, 2026

Jev’s Cheap Decisions Make Semantic Caching Worth Another Try

EngineeringOct 09, 2026

Jev vs. LLMs in Agentic Search

EngineeringSep 02, 2026

How Woodpecker Keeps WAL Writes Fast and Retention Cheap in Milvus 3.0

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Most Contributing Authors

Stefan Webb

Developer Advocate, Zilliz

David Wang

Algorithm Engineer, Zilliz

Jiang Chen

Engineering Lead, Zilliz