vEmbeddings & similarity

Explore semantic distance with sentence embeddings, cosine similarity, centroids, and nearest-neighbor search. — 5 entries

Encoding a sentence as a multidimensional numeric vector.

Comparing the directions of two vectors rather than their lengths.

A representative location formed by averaging vector coordinates.

Representing documents or objects as points whose axes are features.

Find stored vectors nearest to a query vector.