EVOLVING PINTEREST'S EMBEDDING RETRIEVAL PLATFORM

Summary from the TLDR Data newsletter

Pinterest's Manas retrieval platform serves billions of embeddings across Home Feed, Search, Related Pins, Ads, and Notifications. Quantization is cutting serving cost by 20–30%, SSD-backed ANN experiments reduce memory and CPU needs, and multi-embedding retrieval moves beyond single-vector two-tower matching toward richer candidate scoring.