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Building ML-powered Search experiences using Vector capabilities on Amazon Opensearch for Lyst In recent years, ML techniques have become increasingly popular to enhance search use cases. Among them are the use of embedding models with vectors to find the most semantically similar documents and enable use cases such as semantic search, RAG, recommendation engines and rich media search. Join this session to explore how Lyst benefited from the transformational impact of using OpenSearch Service as a Vector Database for scalable and future proof AI applications such as Personalisation. ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.