TurboQuant cuts vector store size by half while preserving search quality
The blog explains TurboQuant, a new quantization method released by Qdrant that rotates vectors before compressing, achieving higher compression with less geometry distortion compared to scalar/binary quantization. Experiments show up to 2‑3× memory reduction with only modest recall impact, making it a viable default for production vector search.