Improving Responses in Generative AI Applications with Retrieval Augmented Generation

Learn how to enhance generative AI application responses using Retrieval Augmented Generation (RAG) with Amazon Bedrock in this 28-minute conference talk from AWS Summit Sydney 2025. Discover how to overcome the traditional challenges of implementing RAG, including configuring data source connections, managing data ingestion workflows, and writing custom code for foundation model interactions. Explore Amazon Bedrock's automated capabilities that identify relevant data sources based on user prompts, retrieve pertinent information, and augment prompts to provide foundation models with enhanced context for generating superior responses. Master optimization techniques for RAG components and examine a practical enterprise use case demonstrating how to streamline and optimize bid writing processes. Gain insights from AWS Senior Solutions Architect Chiedu Eluehike and Senior Accelerated Compute Specialist Sam Mokhtari as they guide you through implementing organization-specific data integration to significantly improve your generative AI applications' performance and accuracy.