IntroductionRetrieval-Augmented Generation, commonly known as RAG, has been making waves in the realm of Natural Language Processing (NLP). At its core, RAG is a hybrid framework that integrates retrieval models and generative models to produce text that is not only contextually accurate but also information-rich. What is RAG?Retrieval-Augmented Generation (RAG) is the process of optimizing […]
