Jiang Chen

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.

Milvus proposes a method to convert raw conversation history into readable, editable long-term memory using Markdown and semantic search.

Milvus 3.0 是一个重要的架构升级，但文章内容主要是宣传信息，缺乏技术深度。

Milvus 3.0 架构升级，支持向量索引和查询，但内容为宣传稿，信息密度低。

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。