Advancing Generative AI: Hybrid and Multimodal Search with Amazon OpenSearch Service and Amazon Bedrock
Generative AI is evolving rapidly, and organizations are seeking ways to deliver richer, more relevant experiences by combining multiple search modalities and techniques. In this webinar, we will explore how Amazon OpenSearch Service and Amazon Bedrock can build advanced hybrid and multimodal search solutions—enabling applications to retrieve and synthesize information across text, images, and more.
This session will provide a practical overview of how to implement hybrid search, blending traditional keyword-based and semantic vector search for greater accuracy and context awareness. We’ll also dive into multimodal search, demonstrating how to index and query text, images, and other data types using Amazon Bedrock and OpenSearch Service’s vector database capabilities. Learn how these advanced search architectures can power next-generation applications, from intelligent knowledge bases and e-commerce discovery to content moderation and personalized recommendations.
Key topics covered in this session include:
Hybrid Search Techniques: How to combine keyword and semantic search for superior relevance and user satisfaction.
Multimodal Retrieval: Leveraging OpenSearch Service and Amazon Bedrock to search and synthesize across text, images, and more.
Performance Optimization: Strategies for maximizing search speed, accuracy, and cost-efficiency at scale.
Responsible AI: Implementing guardrails and safety measures for trustworthy generative AI search experiences.
Real-World Examples: Case studies showcasing hybrid and multimodal search in action across industries.
Attendees will gain actionable insights to advance their generative AI initiatives, unlocking new possibilities for intelligent, multimodal search and discovery powered by OpenSearch Service and Amazon Bedrock.