RAG vs Fine-Tuning: How to Choose the Right Approach

The core distinction

RAG changes what the model knows at the moment it answers by supplying relevant information. Fine-tuning changes how the model behaves by training it further on examples. Most confusion disappears once you ask whether your problem is about missing knowledge or about behaviour.