Today, we're launching the public preview of Zilliz Vector Lakebase — the next chapter for Zilliz Cloud. Vector Lakebase is the next step beyond vector databases. It is a semantic-centric data platform where open storage and elastic compute converge for AI workloads. Vector Databases are purpose-built for real-time serving. Vector Lakebase builds on an S3-based unified data foundation to power AI and agents across three workload modes: real-time retrieval for latency-critical production serving, iterative discovery for interactive and multi-step exploration, batch analytics for offline mining and dataset optimization. All scaling from gigabytes to petabytes. Why do the unified data foundation and three workload modes really matter? In short: because AI systems are no longer just a single-query retrieval problem. They operate as a continuous loop of serving, learning, and improving.…