RAG Didn’t Solve AI. It Made AI a Systems Engineering Problem.

RAG became the default way to ground LLMs on enterprise data, but that did not solve AI reliability. It exposed a harder reality: retrieval is infrastructure, and the real work is systems design, governance, and evaluation.
Cite This
Nat Currier. "RAG Didn’t Solve AI. It Made AI a Systems Engineering Problem.." nat.io, 2026-02-25. https://nat.io/blog/rag-systems-engineering-problem
Why retrieval-augmented generation became table stakes and what actually matters next: system design, governance, evaluation, and engineering reality.
https://nat.io/blog/rag-systems-engineering-problem Key stat: 19 minute read
Work with me
I occasionally partner with founders, executives, and technical leaders who need to articulate complex ideas clearly and build real authority through long-form writing.
If you're trying to express something important and not satisfied with generic content, you can reach out here.