ScyllaDB's integrated Vector Search is redefining what's possible for real-time AI applications by merging a high-performance, massive-scale database (ScyllaDB) with a state-of-the-art Approximate Nearest Neighbor (ANN) search engine (USearch). This talk goes beyond the high-level announcement to provide a technical deep dive into our architecture, explaining the shard-per-core design, how the integration with USearch is achieved, and the underlying mechanisms for filtering and querying.