Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about product quantization (PQ) for efficient vector similarity search in this 30-minute video tutorial. Discover how PQ can dramatically compress high-dimensional vectors, reducing memory usage by 97% and improving search speeds by 5.5x. Explore the benefits of composite IVF+PQ indexes for even faster searches without compromising accuracy. Gain practical insights through Python code examples, visualizations, and quantization techniques. Master dimensionality reduction methods and their application in recommendation systems and semantic search engines.