What is Retrieval-Augmented Generation (RAG)?
Retrieval Augmented Generation (RAG) is a technique for augmenting Large Language Model (LLM) knowledge with additional data. In a standard Gen-AI application using LLM as its sole knowledge source, the model generates responses solely based on the input from the user query and the knowledge it has been trained on. It does not actively retrieve…