RAG vs Fine-tuning: How to Actually Choose
· 8 min read
The short answer, and it is worth stating before anything else: RAG changes what the model knows, fine-tuning changes how the model behaves. Most teams reach for fine-tuning when they actually have a knowledge problem, spend six weeks on it, and end up with a model that sounds right and gets facts wrong.