GPT3 vs SBERT for semantic search/similarity?

Embeddings have been out for a while now and I wanted to get some external opinions on semantic search.

There have been a lot of discussions on Twitter and a few ML/AI-related youtube podcasts about the performance of GPT3 vs more standard semantic search specific models such as SBERT and Slade.

For a query to document search (let’s say an input text query that needs to return something from a Google Doc or Notion Page) what would you guys go with?