Retrieval-Augmented Generation RAG vs Fine-Tuning: Choosing the Right Approach for Your LLM RAG involves combining information retrieval with generative language models. Fine-tuning includes training a pre-trained LLM on a specific dataset to suit a particular task. Here's when to use RAG vs Fine-tuning.