https://platform.openai.com/docs/guides/embeddings
you can ignore HNSW for now, you’ll come across it later
it’s pretty much the same thing. your products just expire. I started writing it and then noticed that I was writing it for products (which is what I used to do), but there’s no real difference other than what I mentioned
If you have two identical events, but on different days, the event with the same as prior days will always rank higher than the ones on a different day.
That said, I guess that is part of the difficult tuning part.
Do you use peers to determine the what, and exclusively the user’s past to determine the when? Then you have two different rankers, and you’ll need to rerank.
You can theoretically incorporate the data into your vector (day of the week, time of the day, season of the year) - I haven’t gotten that far yet. Here’s a thread: https://community.openai.com/t/temporal-linear-coding-with-embeddings/