Retrieval-Augmented Generation: A Story of Two Humans—and Why Some Tools Feel Smarter

There’s debate about whether RAG will “still be a thing.” What matters more is the clarity of your data and the retrieval choices you make. For enterprises aiming for reliable, auditable outcomes, RAG remains strategically important to push models toward deterministic behavior—far more robust than relying on prompt tweaks alone.

Original article on LinkedIn