Retrieval-Augmented Generation (RAG)

RAG (retrieval-augmented generation) is a technique that connects a language model to an external data source: before answering, the system retrieves relevant information and feeds it to the model. This grounds the response in current data and reduces errors. For a DTC brand, this is often how its product data ends up powering a shopping answer.