Google announced TensorFlow Similarity, a Python package designed to train similarity models with the company’s TensorFlow machine learning framework. Similarity models search for related items, for example finding similar-looking clothes and identifying currently playing songs. TensorFlow Similarity builds an index that contains the embeddings of the various items to make them searchable. The library enables searches over millions of indexed items, retrieving the top similar matches within a fraction of second. Moreover, TensorFlow Similarity can add an unlimited new number of classes to the index without having to retrain, instead computing only the embeddings for representative items of the new classes.