I just had an interesting discussion with a group of NHS librarians from NHS Wales about Trip and the use of LLMs. Most of the features I highlighted were geared towards health professionals, which made me feel a bit guilty about not focusing more on their needs.

So, at the end of the discussion, I suggested an idea that could benefit a wider audience: using LLMs to analyse past user searches on a given topic and generate related search terms (often a problem for information specialists – identifying additional terms to use in a search). I’ve often thought this could be valuable – essentially harnessing the collective wisdom of our users to improve search experiences.

To test this concept, I took a large list of searches related to urinary tract infections (UTIs) and asked ChatGPT to analyze them. The result? A structured mind map that categorizes searches into key themes, making it easier to explore related topics more effectively:

It looks nice, but is it useful?