📘 What is RAG?

RAG, short for Retrieval Augmented Generation, is a technique to enhance the quality of responses generated by a large language model (LLM), by augmenting its pre-trained knowledge with information retrieved from external sources. This results is more accurate responses from the LLM by grounding them in real, contextually relevant data.