Similarity search allows for exploration of complex, unstructured data sets, but how is this done exactly? At their core, similarity methods quantify how closely two vectors resemble one another, where vectors are numerical representations of data objects such as documents, images, words, audio files, or temporal data known as
This is perhaps the most detailed article on Vector similarity that I have seen so far. Great read and great job Neil and Nathan!!!
Thx Suhas, glad you’re enjoying them!