AI-Ready Data Foundation Using Amazon OpenSearch

AI-Ready Data Foundation Using Amazon OpenSearch - Navnit Shukla & Gagan Brahmi, Amazon Web Services The foundation of effective AI solutions lies in the quality, accessibility, and relevance of the underlying data. In this session, we explore how Amazon OpenSearch can be leveraged to build an AI-ready data foundation that supports both traditional analytics and modern AI/ML workloads. We’ll cover best practices for organizing semi-structured and unstructured data into vector-enabled indexes, enabling semantic and hybrid search capabilities, and powering Retrieval-Augmented Generation (RAG) architectures. You’ll learn how OpenSearch integrates with services like Amazon Bedrock and SageMaker to support natural language interfaces and real-time generative insights. From ingesting data at scale to enriching it with metadata, embedding models, and managing relevance tuning, this session is a hands-on guide to operationalizing data for AI. Whether you’re building chatbots, recommendation engines, or agentic workflows, you’ll gain actionable strategies to turn your OpenSearch domain into an intelligent data hub.