In this session, learn how to build a serverless-first chatbot application by leveraging Amazon Aurora with pgvector as a vector store and Amazon ElastiCache Serverless for Valkey to manage chat history, semantic caching, and agent memory. Discover how to harness these services to create contextually aware, scalable chatbots with agentic capabilities that retain conversational memory across interactions. Explore architectural patterns, implementation strategies, and real-world use cases. Gain insights into optimizing query latency, performance, and cost-effectiveness. Whether you’re a developer, architect, or decision-maker, this session equips you with practical knowledge to build modern, serverless-powered chatbot applications using generative AI.

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