RAG stands for Retrieval-Augmented Generation. RAG is a general approach used in various Al applications, including chatbots and virtual assistants. It involves a retrieval step where the system searches a database or corpus of information to find relevant data related to the user’s query. This retrieved information is then used to augment the generation of a response by the Large Language Model (LLM). The key aspect of RAG is the process of finding and utilizing relevant information from a larger dataset to inform the response generation.