Q&A is an AI technique that enables users to ask questions in natural, everyday language and receive accurate, contextually relevant responses. With advancements in large language models (LLMs), this technology has evolved to include Retrieval-Augmented Generation (RAG) methods.
RAG combines the power of search (retrieving relevant text fragments) with generation (using the model to synthesize a complete, coherent answer from the retrieved data), providing more comprehensive and precise answers from the underlying corpus or document.