Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

According to a chapter dedicated to the topic in the publication, one way of achieving Python parallelism is through NumExpr, “in which a symbolic evaluator transforms numerical Python expressions ...