Session
Revolutionizing Multimedia Content Search with Vector-Powered Semantic Search
This session explores the transformation of multi media content search, showcasing a case study that leverages OpenSearch and multimodal models to implement semantic search for images and captions. We'll discuss how this advanced approach significantly improves result relevancy and user experience compared to traditional keyword-based systems. Attendees will learn practical strategies for implementing vector search and multimodal models in their own digital asset management systems, potentially revolutionizing visual content discovery across various industries. Gain insights into overcoming common challenges and enhancing search capabilities for more intuitive and efficient user interactions.
target audience : AI/ML engineer , GEN AI application
preferred session duration : 30-40 minutes
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