Fashion Shopping with Nearest Neighbors

Show HN: Fashion Shopping with Nearest Neighbors

Fashion Shopping with Nearest Neighbors is a company in show hn launch.

Profile

I made this website with my wife in mind; it makes it possible to browse for similar fashion products over many different retailers at once.The backend is written in Swift, and is hosted on a single Mac Mini. It performs nearest neighbors on the GPU over ~3M product images.No vector DB, just pure matrix multiplications. Since we aren't just doing approximate nearest neighbors but rather sorting all results by distance, it's possible to show different "variety" levels by changing the stride over the sorted search results.Nearest neighbors are computed in a latent vector space. The model which produces the vectors is also something I trained in pure Swift.The underlying data is about 2TB scrap

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

It is recorded at the Show HN launch stage.

Website: vibewall.shop