Planning The Design Of Your Production-Grade Rag System
Red Hat, Friday, March 6th, 2026
In our previous article Context as architecture: A practical look at retrieval-augmented generation, we treated retrieval-augmented generation (RAG) as an architectural idea. We explored why retrieval exists, how it changes the system around a language model, and where its boundaries lie. That framing is necessary, but incomplete.
Once teams move beyond prototypes and begin operating RAG systems in production, a new reality sets in. Retrieval does not fail loudly. It fails subtly, probabilistically, and often convincingly. Systems return an answer, grounded in some source, even when that source is incomplete, outdated, or only loosely relevant.
This is the point where RAG stops being an idea and becomes a systems problem.