As organizations mature their generative AI strategy, more complex use cases emerge. Originally focused on unstructured data, organizations now require structured data as a source of knowledge for AI applications. This session will showcase a method for storing and accessing structured and unstructured data in tandem through an AI agent. Learn how to put text data into a vector store and create a text-to-SQL system with advanced knowledge bases, then efficiently direct user questions using AI agents for a smooth user experience. This approach demonstrates how to leverage both structured and unstructured data sources to enhance the capabilities of generative AI systems in enterprise environments.

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