Organizations store critical knowledge across dozens of systems — object stores, ticketing platform, messaging platforms, RDMS and many other sources. Users expect a single search experience that finds the right information regardless of where it lives, respects access permissions instantly, and increasingly, answers questions rather than returning document lists. This session presents a five-component architecture for federated enterprise search: per-source indexing for relevance optimization, built-in access control for sub-second security enforcement, two-phase search for accurate facet counts, Reciprocal Rank Fusion for fair cross-source ranking, and an Agentic AI layer that enables conversational, multi-step queries like "Find all open tickets related to the API migration, cross-reference with design docs, and summarize the blockers." Built on Amazon OpenSearch , this architecture is production-ready today. Attendees will leave with a clear blueprint for transforming their enterprise search from keyword-based document retrieval into an intelligent, conversational knowledge discovery platform.