Embeddings & Vector SearchHervé Jégou et al. (INRIA)

Jégou et al. publish Product Quantization for Nearest Neighbor Search

Published Product Quantization for Nearest Neighbor Search — decomposed the space into a Cartesian product of low-dimensional subspaces to compress vectors into short codes, evaluated at a scale of 2 billion vectors

Why it matters

The origin point of the IVF-PQ family. The compressed indexes of FAISS, ScaNN and most vector DBs descend directly from this paper

Source — Primary sources first; secondary reports are labelled “Press”

Officialinria.hal.sciencehttps://inria.hal.science/inria-00514462

Added in Week 35, 2026 · See that week

Nearby on the same axis

Mikolov et al. at Google present word2vecPaperMalkov and Yashunin present HNSWPaperFAIR presents FAISSPaperNogueira and Cho present Passage Re-ranking with BERTPaper