Hi community! I am doing semantic search using auto-embedding generation within Typesense. On the client side I have something like this:

...
vectorQuery: "embedding:([], alpha: 0.19, distance_threshold:0.58)"
...

Now reading the documentation carefully I found the "k parameter" What is the difference between the "k parameter" and distance_threshold ? Should I use both? Just for info: I will need pagination too... Looking into showcase-hn-comments-semantic-search I see

page:  1
per_page: 15
q: "beethoven"
query_by: "embedding"
vector_query: "embedding:([], k:200)"