The demonstrated workflow compares two embedding models by embedding a query and retrieving related papers through vector search.

“to get a bunch of papers related to data quality and there's two embedding models and the goal is to compare like which embedding model do we prefer so the embedding model embeds the query and then you know uses vector search to pull related papers so if I submit this I get”