Vector Eng.

Vector embeddings are created on large amounts of data. If the size of the vector embedding is huge, performing a search can take from minutes to hours. The more number of dimensions in a vector embedding, more time and computation is needed. This is where vector indexes come into picture. Vector indexes allow us to…

The embeddings are created using the neural network models and help immensely in capturing the intricate correlations between the elements. Vector embedding can be performed on various entities –  words, phrases, documents, audio, images, videos, user profiles etc. In a vector embedding of words, the words are converted to a numerical representation. For the sake…