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Discover how to optimize database architecture for AI agents in this lightning talk from AWS re:Invent 2025. Explore the limitations of traditional "Frankenstack" approaches that combine vector stores, search engines, OLAP systems, and complex pipelines, which often lead to real-time reasoning challenges, inconsistent multi-modal results, and scaling issues with high latency. Learn about the hidden costs associated with data movement, operational overhead, and the specialized skills required to maintain these fragmented systems. Examine optimization strategies for standard approaches while identifying key warning signs that indicate when your current architecture is breaking down. Understand a unified design methodology that prioritizes agent requirements and enables the integration of structured, unstructured, and vector data within a single platform. Gain insights into building and deploying AI agents more efficiently while eliminating the complexity and costs of maintaining multiple disparate systems. This presentation, delivered by AWS Partner SingleStore, provides practical guidance for organizations looking to streamline their AI agent infrastructure and improve performance at scale.
