What Is Product Quantization

Summary

In this video, we talk about a vector compression technique called Are you struggling with high-dimensional data in your vector database? In this video, we dive deep into Vector similarity search can require huge amounts of memory. Indexes containing 1M dense vectors (a small dataset in today's ... datascience Collaborative filtering uses algorithms that make ... How do we store millions of AI vectors without using massive storage? In this video, I explain how This short podcast-style discussion explains how Frontier AI models are almost too big to use — a 70B model needs ~140 GB of memory just to hold its weights. So how do these ... Lou Kratz presents the paper Locally Optimized Here we are going to see tutorial based on When you store vectors, each number takes up 32 bits. With 1000 numbers per vector and millions of vectors, costs explode. Jegou, Herve, Matthijs Douze, and Cordelia Schmid. " Authors: Young Kyun Jang, Nam Ik Cho Description: Image retrieval methods that employ hashing or vector