Also known as Gram–Schmidt process, Gram-Schmidt orthonormalization, Gram–Schmidt orthonormalization, Gram–Schmidt method, Gram-Schmidt
method for orthonormalising a set of vectors
The first two steps of the Gram–Schmidt process In mathematics, particularly linear algebra and numerical analysis, the Gram–Schmidt process or Gram-Schmidt algorithm is a way of finding a set of two or more vectors that are perpendicular to each other.
By technical definition, it is a method of constructing an orthonormal basis from a set of vectors in an inner product space, most commonly the Euclidean space
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).