Show HN: A production-style recommender using vector retrieval and re-ranking
I’ve been exploring how recommendation systems are actually implemented in production, beyond just training models.A common pattern I kept seeing is to split the problem into two stages:1. Retrieve a small set of relevant candidates2. Re-rank them using a modelInstead of doing brute-force inference across all items, I built a small prototype around this idea.The flow looks like this:- Store...