To achieve this, we used t-distributed stochastic neighbor embedding (t-SNE) to reduce 300-dimensional word vectors to three dimensions. The word vectors were derived from the fastText ...

In preview through Azure Cognitive search, Vector Search uses machine learning to capture the meaning and context of unstructured data, such as images and text. The idea is to make search faster.