Relevancy depends a lot on the embedding model used. I recommend using something like

e5-small-v2

to compare that relevancy with what you are using now.

I don't have those products, e.g.

red light therapy mask

. I end up getting ~2100 results across a wide range of categories.

You can set up a

distance_threshold

for the vector_query to only retrieve results that match certain similarity score: https://typesense.org/docs/27.1/api/vector-search.html#distance-threshold