RAG reliability still needs architecture, not just larger context windows

A fresh RAG engineering write-up makes a familiar but important point: simply expanding the context window does not fix retrieval quality. Large windows can hold more text, but they do not guarantee that the right evidence is selected, ranked, and used correctly.

For teams building LLM applications, the practical takeaway is architectural. Reliable RAG still depends on ingestion strategy, metadata, reranking, grounding checks, and evaluation loops rather than assuming the model can absorb every possible document.