Amazon Web Services has expanded Amazon Simple Storage Service (Amazon S3) with three capabilities—Amazon S3 Metadata, Amazon S3 Vectors, and Amazon S3 Tables—to help customers discover, structure, and build artificial intelligence (AI) ready pipelines. Amazon S3 Metadata automatically generates and maintains queryable metadata for objects across S3 buckets, including system-defined metadata, user-defined metadata, object tags, and annotations, enabling teams to search and filter by object attributes without custom inventory tooling. Amazon S3 Vectors extends Amazon S3 with native vector storage and querying for semantic search and AI workloads, handling billions of vectors at sub-second latency while cutting costs by up to 90% compared to standalone vector databases. The post explores how each capability maps to real challenges government agencies face today, such as a state government consolidating files from multiple departments for a records retention audit, and a state unemployment agency using S3 Vectors for a RAG chatbot.