The Right RAG Architecture Depends on How Expensive a Wrong Answer Is

A lot of teams talk about RAG like it is one thing.

It is not.

Standard RAG, Conversational RAG, Corrective RAG, Adaptive RAG, HyDE, GraphRAG — each one solves a different failure mode.

The real question is not “Should we use RAG?”
It is:
what kind of wrong answer can this system afford?

That is where architecture choice gets serious.

https://blog.dataengineerthings.org/which-rag-architecture-should-you-use-in-2026-89dcc86d0d05

ai #rag #llm #dataengineering