Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture.

While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.