Retrieval-Agmented Generation(RAG) is a process of optimizing the output of the Large Language Model , so it references an external knowledge source(documents, pdfs etc) or knowledge base outside it's training data sources before generating a response.
I like how this covers all the basics and keeps it "pg-13" as far as NOT jumping into code goes.