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Explore advanced generative AI strategies in this AWS re:Invent 2025 conference session that demonstrates how to bridge structured and unstructured data sources using AI agents. Discover methods for creating unified knowledge access systems that leverage both vector stores for text data and text-to-SQL capabilities for structured databases. Learn to implement advanced knowledge bases that can efficiently route user queries through AI agents, creating seamless user experiences across diverse data types. The session covers practical approaches for storing and accessing heterogeneous data sources in tandem, showcasing how enterprises can enhance their generative AI applications by moving beyond simple unstructured data use cases to incorporate complex structured data requirements. Gain insights into building sophisticated AI systems that can intelligently direct questions to appropriate data sources while maintaining smooth operational workflows in enterprise environments.
