RIG

RIG, or Retrieval-Augmented Generation, is a technique that combines a language model with external knowledge sources. It retrieves relevant information from a database or document collection to support generating accurate and context-aware responses. This approach enhances the model's ability to provide precise, up-to-date, and detailed answers by integrating retrieved data directly into its output process. Essentially, RIG allows AI to "look up" information during a conversation, leading to more informed and reliable responses without relying solely on pre-existing training data.