Enterprise AI agents are only as reliable as the data they can retrieve. Moving beyond basic RAG requires thoughtful decisions about ingestion, indexing, vector search, keyword retrieval, metadata filtering, data freshness, authorization, ranking, and provenance. This session explores how to design the data layer for production agentic applications on Azure. We will examine structured and unstructured information, hybrid retrieval, Azure AI Search, enterprise data sources, evidence ranking, citations, and secure data access. Attendees will learn how to build retrieval architectures that provide agents with useful context while maintaining traceability, security, freshness, and operational control.

Focus: Building the data and retrieval foundation behind trustworthy enterprise AI agents: ingestion, hybrid search, vector retrieval, metadata, freshness, authorization, grounding, and citations.