Earlier quoted context omitted.
Is your music recommendation system open source? Would be down to check it out and learn a thing or two from it. On the topic of vector search, I'm fairly certain that Spotify still uses Annoy ( https://github.com/spotify/annoy ). Like Faiss, it's a great library but not quite a database, which would ideally have features like replication ( https://milvus.io/docs/replica.md ), caching, and access control, to name a f…
No. I released part of it as open source, but that was just a script to import Discogs to an SQL database. It was never really more than a proof of concept and I think it would be quite difficult to get the code running now. At the time one of the big issues I had was that I had no idea how to find the closest vector of a vector without it going like really slow. I was also experimenting with finding a popularity sco…
They were acquired by Spotify in 2014 and according to announcements at the time, the intention was to enhance their recommendation/discovery system with the deeper insight they got into songs as a result (Infinite Gangnam Style, anyone?), but I don't know what came out of it.