@Wolven AFAICT it's because keyword search failed years ago, and all the search engines have been moving to semantic vector search instead. The same underlying tech as LLMs, actually - training a model to vectorize a document (or fragment), then doing nearest-k neighbor search.

Which means the results are inherently less specific than they should be