Google's New Algorithms Just Made Searching Vector Databases Faster Than Ever
A Deep Dive into how Google's ScaNN and SOAR Search algorithms supercharge the performance of Vector Databases
Vector databases are becoming increasingly popular, especially with the increasing popularity of LLMs.
For those new to them, they are a collection of Embeddings, that are vector representations of real-world entities such as text, images, audio, videos and more.
These vector representations help capture the features and semantics of a real-world entity in a continuous vector space.
These vectors can then be used by an ML model for further processing and applications for different ML tasks.
