RAG technology improves the power of generative AIsolutions to capture specific business information. It is a method in which the generation of text is enhanced by looking up relevant information. This process combines techniques for querying data from a large data set or knowledge base with techniques for generating natural language to generate answers, content or data that are accurate, relevant and informative. It is often used in systems that answer complex questions or create in-depth content, as it offers the ability to improve the quality and precision of the generated text.