Discover how to dramatically improve the performance and cost-effectiveness of multi-agent AI systems through semantic caching techniques in this AWS re:Invent 2025 conference session. Learn to reduce application latencies from single-digit seconds to single-digit milliseconds while simultaneously cutting foundation model costs for production workloads. Explore the implementation of vector search capabilities with Amazon ElastiCache for Valkey to enable semantic caching in complex agentic AI architectures, including RAG-powered assistants and autonomous agents that require frequent foundation model calls. Master the strategies for building performant, cost-effective production-scale agentic AI systems that can handle complex workflows efficiently. Gain practical insights into optimizing multi-agent orchestration through advanced caching mechanisms that maintain semantic understanding while delivering significant performance improvements for enterprise AI applications.