I am finding that semantic ~= lexical when you have something like a frontier model driving. Using full text search engines is still the most compelling approach for handling large document sets.

I really struggle with the semantic / embedding concerns when we have a generative model that can reverse engineer a Mario 64 rom dump to run on my toaster oven. These models know how to compose Lucene & other FTS query strings in such a way that we are effectively getting semantic search over purely lexical systems.