MEETUP · SAN FRANCISCO
Milvus Meetup - San Francisco
Running a more powerful retrieval engine in production Milvus has expanded beyond vector search into a more powerful retrieval engine—combining vector, full-text, and structured search over...
- When
- Wed, Oct 21
5:30 PM to 9:00 PM PT - Where
- Financial District, San Francisco, CA
- Host
- Open Source AI Week
- Entry
- Free to attend
About this event
Running a more powerful retrieval engine in production
Milvus has expanded beyond vector search into a more powerful retrieval engine—combining vector, full-text, and structured search over data stored in open lake formats.
Milvus 3.0 brings more of the retrieval workflow into one engine while allowing data to remain in formats such as Parquet, Lance, Iceberg, and Vortex—without maintaining another serving copy.
Join Milvus maintainers, AWS architects, and engineers working on retrieval at scale for a practical look at the new architecture, its tradeoffs, and what it changes in production.
What we’ll cover
- Vector, full-text, and structured search in one retrieval engine - Searching lake-resident data without another serving copy - When to use External Collections versus native Milvus collections - Using snapshots and batch workflows for evaluation and re-embedding Agenda
5:30 pm — Check-in. Food and drinks.
6 pm — Opening: AWS welcome + Milvus community intro
6:10 pm
- Talk: Milvus 3.0: A More Powerful Retrieval Engine - Speaker: Jiang Chen, Head of Developer Relations and Solutions, Milvus/Zilliz - Outline:
- Engineers maintaining a data lake and retrieval system faces a challenge: either copy lake-resident embeddings into a separate serving system, or search the lake directly and accept brute-force scans and impractical latency. Milvus 3.0 introduces a third path....
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