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Insight · June 18, 2026

RAG Is an Architecture Problem, Not a Vector Database Problem

The difficult parts of enterprise retrieval concern authority, access, lifecycle, evaluation, and user trust—not only similarity search.

RAGEnterprise AIInformation Architecture

Retrieval-augmented generation sits at the intersection of search, information management, security, and product design. Reducing that system to an embedding model and a vector store leaves the consequential architecture unanswered.

This forthcoming insight will map the decisions that matter beyond retrieval mechanics, from source authority and entitlement-aware search to citations, freshness, deletion, and evaluation.