Comment by curl-up

I'm facing the problem you describe daily. It's especially bad because it's very difficult for me to predict if the set of filters will reduce the dataset by ~1% (in which case following the original vector index is fine) or by 99.99% (in which case you just want to brute force the remaining vectors).

Tried a million different things, but haven't heard of Turbopuffer yet. Any references on how they perform with such additional filters?