Retriever-And-Generator (RAG) models and large language models (LLM) are advanced components of artificial intelligence in the field of natural language processing (NLP).

A RAG, in the context of artificial intelligence, refers to “Retriever-And-Generator”. It is a type of artificial intelligence model that combines two main components to improve text generation: an information retrieval system (the “Retriever”) and a generative language model (the “Generator”).

The information retrieval component is responsible for searching and retrieving relevant pieces of text from a large database or document corpus. This database can consist of internet texts, books, academic articles, among others. The goal is to find information that is relevant to the question or prompt provided.