ks:vsearch(
query,opts) ->results
Search for similar vectors
Returns an array of {key, score} tables sorted by similarity.
Options: metric ("cosine", "dot", or "l2"; default "cosine"),
top_k (max results; default 10), filter (key prefix filter).
Cosine: 0=identical, 2=opposite. Dot: higher=more similar. L2: 0=identical.