Online 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 ... Unlike tree-based indexes used for ANN, a k-NN search with a Here we are going to see tutorial based on This video is about TURBOQUANT, an efficient vector How do we store millions of AI vectors without using massive storage? In this video, I explain how Lou Kratz presents the paper Locally Optimized Title: Scaling Visual Search with Locally Optimized