Architecture & data foundations for AI-powered Search

This whitepaper lays out a production-ready blueprint for AI-powered search. It walks through the full stack, from ingestion and enrichment to hybrid indexing and retrieval, recommendations, and RAG interfaces that stay grounded in retrieved sources. It also covers the work that makes these systems dependable in the real world: observability, governance using secured API keys and per-record filtering, cost controls, and lifecycle management using explicit expiration metadata and soft-delete flags.