Google has unveiled TurboQuant, a cutting-edge suite of algorithms and libraries designed to revolutionize the way large language models (LLMs) and vector search engines operate. This innovative technology is a crucial component of Retrieval-Augmented Generation (RAG) systems, which rely heavily on efficient data storage and processing. By leveraging TurboQuant, developers can now apply advanced quantization and compression techniques to significantly reduce the size of their models, making them more manageable and scalable.