RAG retrieves relevant external documents for a question and supplies them to a language model as context before generation. It can make answers more grounded, but does not guarantee correct retrieval, citations or factual output.
Retrieval-augmented generation (RAG)
RAG retrieves relevant external documents for a question and supplies them to a language model as context before generation. It can make answers more grounded, but does not guarantee correct retrieval, citations or factual output.