什么是 Zilliz？

Milvus 3.0 beta is the biggest architectural upgrade since the project began, introducing native support for indexing and querying vectors directly on data lakes, plus a query engine beyond top-K search; led by core maintainers Li Liu and Jiang Chen, it powers Zilliz Vector Lakebase.

RaBitQ algorithm compresses float32 vectors to 1 bit per dimension through random rotation, significantly reducing RAM and SSD costs for vector search without quality loss. Jiang Chen, Zilliz Head of Developer Relations, shared this at London Unstructured Data Meetup.

Milvus团队在伦敦非结构化数据聚会分享AI Agent构建经验，强调上下文管理、记忆系统与向量检索基础设施的关键作用。