Simplifying Generative AI Implementation with Amazon OpenSearch Service and Amazon Bedrock
Generative AI is transforming industries by enabling smarter, more context-aware applications such as intelligent search, personalized recommendations, and conversational AI. In this webinar, we will explore how integrating Amazon OpenSearch Service with Amazon Bedrock simplifies generative AI implementation, helping organizations leverage foundation models effectively while connecting them to enterprise data sources to deliver more relevant, context-specific, and accurate responses.
This session will provide an overview of how these two AWS services work together to support Retrieval-Augmented Generation (RAG) workflows and provide the capabilities needed to build and scale generative AI applications for a variety of use cases. Organizations can improve search relevance, reduce latency, and ensure reliable generative AI outputs tailored to their specific needs by combining OpenSearch Service's vector database capabilities with Amazon Bedrock's broad set of capabilities and access to high performing foundation models.
Key topics covered in this session include:
Optimizing Generative AI Workflows: How OpenSearch Service enables efficient storage and retrieval of vector embeddings to enhance Amazon Bedrock’s capabilities for delivering relevant responses.
Benefits of Integration: Improving search accuracy, mitigating hallucinations in generative AI outputs, and accelerating time-to-value for generative AI initiatives.
Real-World Examples: Practical applications of this integration include RAG powered chatbots for contextual responses, document summarization using vectorized data retrieval, and multimodal search across text, images, and other modalities.
Agentic AI: Leverage agentic AI search workflows, OpenSearch Service's fast data retrieval, and Amazon Bedrock capabilities to autonomously search, retrieve, and synthesize information.
Attendees will gain actionable insights on how Amazon OpenSearch Service and Amazon Bedrock can simplify development of generative AI applications while driving innovation, security, and operational efficiency.
Speaker Profiles
Jon Handler
Director of Solutions Architecture for Search Services
Jon works closely with OpenSearch and Amazon OpenSearch Service, providing help and guidance to a broad range of customers who have generative AI, search, and log analytics workloads for OpenSearch. Prior to joining AWS, Jon’s career as a software developer included four years of coding a large-scale, eCommerce search engine. Jon holds a Bachelor of the Arts from the University of Pennsylvania, and a Master of Science and a Ph.D. in Computer Science and Artificial Intelligence from Northwestern University.
Amanda Lester
Sr. Generative AI Specialist
Amanda helps organizations build and scale generative AI applications with Amazon Bedrock. Prior to joining AWS, Amanda led strategic go-to-market efforts for high growth technology companies. Amanda holds a Masters of Business Administration from the University of Notre Dame and a Bachelor of Arts in Communications from Saint Mary's College. Amanda is passionate about helping accelerate the growth of the tech community through programs to support gender equality, entrepreneurship and STEM education.