RAG vs. Fine-Tuning vs. Fresh Model: What Actually Determines Enterprise AI Accuracy in 2026
Executive Summary Most enterprise AI accuracy problems get blamed on the model. They rarely are. The choice between retrieval-augmented generation, fine-tuning, and simply prompting a strong frontier model is treated as a technology decision when it’s actually a data-and-maintenance decision in disguise. The Debate That’s Framed Wrong Ask five vendors how to improve the accuracy of an internal AI assistant and you’ll get five different answers, usually pitched around whichever approach that vendor is best equipped to sell. Fine-tuning shops recommend fine-tuning. RAG platforms recommend RAG. Model providers recommend their newest release. The honest answer is less convenient: these three …
