Take everything a user says and encode it into some vector. That's "embedding."
Then you encode a search query the same way and return the nearest N vectors/users. That's vector search.
It seems they did the above for HN comments.
Then you encode a search query the same way and return the nearest N vectors/users. That's vector search.
It seems they did the above for HN comments.
We'd love to hear your feedback as you play with it more and we improve all of the above.