Could be. That means feedinng it the data from NICE in a prompt rather than relying on the data being in training set. That will intuitively increase the reliab

Could be. That means feedinng it the data from NICE in a prompt rather than relying on the data being in training set. That will intuitively increase the reliability of the answer (I have to look into it a bit more). On one hand if you already have the NICE data at hand, you already have your answer. There won't be a need for a search enginge or a chat bot other than to perhaps, summerize the data (which is valuable on its own). On the other hand, if you don't have the NICE data at hand, the correctness of the response relies on the accuracy of the search method in order to feed the correct page to LLM. This is an issue additional to LLMs accuracy. At first it might seem like an easy problem to solve but when one wants to engineer a solution to a nice streamlined product, it's more challenging; unsurprisingly.