🎯 Amazon S3 Vectors – Tomáš Sezima, Datamole

Speaker: Tomáš Sezima — Head of Data Engineering at Datamole Come hear about Amazon S3 Vectors, AWS's purpose-built serverless vector storage. It brings approximate nearest-neighbor search with metadata filtering directly into S3, scales to 2 billion vectors per index, and follows S3's pay-per-use model: no cluster to size, no idle cost. We'll walk through the resource model, query semantics, and real pricing math, plus a live demo, so you leave knowing exactly when S3 Vectors beats a dedicated vector database and when it doesn't. If you're building RAG or semantic search on AWS, this changes the cost equation. This video was recorded at the ☁️ Summer AWS BBQ Meetup 🍔 in Brno on July 29, 2026 https://www.meetup.com/brno-aws-user-...