RAG vs Fine-Tuning: Which Approach Should You Use?
RAG is usually the better choice when an AI system needs current, private, or externally sourced information; fine-tuning is better suited to stable specialized behavior, and both can be combined when an application needs current knowledge plus consistent task-specific behavior.