Grounding
Grounding refers to providing specific information to a generative large language model (LLM) that isn’t available to the model based on its training. Relevance Generative Answering (RGA) retrieves the most relevant content for a user query and grounds the generative LLM to that content to make sure that the generated output is relevant and secure.
For more information, see: