Generative AI has introduced new query patterns as customers seek to leverage their data to customize customer experiences. With new vector search query patterns, vector data types and indexing, there's now a new frontier to consider for performance and cost optimization. In this session, learn how you can use Amazon MemoryDB to reduce latencies to single-digit milliseconds from single-digit seconds in generative AI workloads using durable semantic caching, while also reducing the cost incurred from your foundation models.

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