Pull Request

Related issue

Fixes #81

What does this PR do?

• After looking into annoy it looks like we ignored the bias for the euclidean and manhattan distance, but using the bias the recall improved a little bit on small dimension datasets:
  On main:
  
  After this PR:
  

![WARNING]
Currently, this doesn't apply to the angular distance, we need to read the annoy code further to understand what they’re doing with the norm and if we’re doing everything correctly

And for the binary quantization?

Currently, I don't really know how we should implements that for the binary quantization. I did a few tests here and some improved the recall sometimes for almost 10 points: