Full circle back to "embeddings". On a serious note though, vector proximity is super poweful and fast af. Especially powerful when combined with vector averages. I have been experimenting a lot with nostr and achieved great results when I average the vector representation of a note with the vector representation of all replies. My next experiment is to have different average weights based on "reply relevance" which can be defined in plenty of different ways.