For me, the beauty of Phind is that it will wade through the ad ridden web 3.0 hellscape to get an answer for me in plain text. I am not sure exactly how much of that process is to do with the language model per se. Probably basic vector store distance measures and traditional indexing paired with text extraction would do the job "just as well". I don't really need the natural language spin on top (I think).