Wrote an essay on Product Quantization and how it helps in vector search by squeezing huge high-dimensional embeddings into tiny codes while still keeping distance calculations workable.
If you’re working with embeddings, RAG systems, or large vector indexes, or are just curious, this should give you a solid mental model of how PQ actually works under the hood. Give it a read.