Amazon S3 Vectors can now return up to 10,000 similarity search results per query, a 100x increase from the previous limit. The higher result limit helps you retrieve a larger, more comprehensive set of candidates during similarity queries. This is especially…

Amazon S3 adds annotations, so you can attach custom metadata to your S3 objects at massive scale, giving AI agents and analytics tools the context they need to find and use the right data. Annotations are a new metadata capability…

Amazon S3 Vectors has reduced data processed charges for queries on vector indexes with over 10 million vectors by up to 80%. This reduction lowers costs for customers running similarity search across large-scale AI, RAG, and semantic search workloads. The…

AWS Transform now offers a model-to-model migration custom transformation that assesses your generative AI workloads and produces a comprehensive migration plan for moving from third-party providers to Amazon Bedrock. The AI-powered agent scans your codebase, identifies every AI SDK and…

Amazon Relational Database Service (Amazon RDS) for SQL Server launches memory-optimized X2m database instances. Based on the Amazon EC2 X2iedn instance, X2m database instances provide the Amazon RDS Optimize CPU feature, which allows customers to reduce SQL Server software licensing…

AWS Transform for mainframe now delivers a connected, traceable reimagine experience from assessment through code generation. Previously, modernizing mainframe applications required months of analysis across multiple tools for discovery, reverse engineering, and code generation with manual handoffs between phases. With…