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 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

EngineeringAug 24, 2026

Milvus External Collection: Index and Retrieve Lake-Resident Data Without Moving It

EngineeringAug 19, 2026

One Entity, Many Vectors: Entity- and Element-Level Search with Milvus 3.0 StructArray

EngineeringAug 07, 2026

From Retrieval to Structured Results: Aggregation and ORDER BY 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