How is this different than the work that semantic scholar is doing around AI?
Their core feature now is a fast keyword search engine, but they also have a few advanced search features through their API (https://api.semanticscholar.org/api-docs/) like recommendations from positive/negative examples, but neither KW search nor these other systems are currently high enough quality to be very useful for us.
FYI our core dataset for now is provided by Semantic Scholar, so hugely thankful for their data aggregation pipeline and open access/API.
And yes, Semantic Scholar is a wonderful part of the academic commons. Fingers crossed they don't go down the jstor/oclc path.