Seems like a great idea but the search is horrible. I tried a few ones and products were completely unrelated, or if related (because of a keyword) completely different from what I wanted. I understand you are working on the dataset, etc., but releasing too early may be bad for you guys. Most people won't try it again if the quality is bad. You have one chance to make an impression.

▲

glawrence13 7 days ago | parent | next [-]

Thanks for the feedback. Releasing early vs releasing a polished product is always a tough balance to strike, and I'm grateful for insights like this. Do you have specific queries that missed the mark, or specific problems with the results? The common refrain we've heard is some products surfaced are good, but some random products also slip in there. If that's not consistent with your experience, I'd love to know what went wrong!

▲

GONGOTA 6 days ago | parent [-]

Hey! I know that you probably don't have any groceries there, but i tried "Goat cheese" and search result is super weird.

We build something similar and experience the same problem. Our current solution is not that effective, but we use vector-based search + llm to resolve such queries

	▲	aschiff1 6 days ago \| parent [-]
		Yeah, physical products for now. No groceries! We also use vector search + lots of LLMs, but not surprised you'd see funny search results here. We're working around the clock to make this better.

▲

aschiff1 7 days ago | parent | prev [-]

Hi, we just pushed up a fix. Looks like our vector results were acting up. Please let us know if you're getting better results!