Rather than relying exclusively on general knowledge available to an LLM, RAG allows you to connect the model to specific reference sources, so your AI can provide more accurate, relevant information.
We all make fun of how large language models get things wrong… but only because we want very much for LLMs to get things right. Retrieval augmented generation (RAG) is one way to potentially provide more reliable results.