[magicalhippo]

I've got some similar use-cases. So, do I understand correctly that you take the source keyword and generate an embedding vector of it, then compare it using dot-product similarity or something to the embedded vectors of the target keywords?

[anamexis]

Exactly, although we use cosine similarity.

[magicalhippo]

Perfect. And yeah that's what I meant, so used to just normalizing vectors so dot product = cosine.