Reasoning

The user is asking about RAG (Retrieval-Augmented Generation). I need to break this down into the core components: the retrieval system, the augmentation step, and the generation phase. Let me consider the key advantages over pure fine-tuning — namely, that RAG allows the model to access up-to-date information without retraining. I should also mention vector databases and embedding models as the foundation of the retrieval pipeline.