MarkLogic 12 EA 1 Product Documentationvec:dot-product
vec:dot-product( $vector1 as vec:vector, $vector2 as vec:vector ) as xs:double
Summary
Returns the dot product between two vectors. The vectors must be of the same dimension. Use this function to calculate similarity between vectors if you are certain they are both of magnitude 1.
| Parameters | |
|---|---|
| vector1 | The vector from which to calculate the dot product with vector2. |
| vector2 | The vector from which to calculate the dot product with vector1. |
Example
xquery version "1.0-ml"; let $vec1 := vec:normalize(vec:vector((3.14,1.59,2.65))) let $vec2 := vec:normalize(vec:vector((3.58,9.79,3.23))) return vec:dot-product($vec1,$vec2); => 0.735591769218445
Example
xquery version "1.0-ml";
let $vec1 := vec:vector(fn:head(fn:doc('pronethalol.json'))/data/array-node{embedding})
let $vec2 := vec:vector(fn:head(fn:doc('cell_renewal.json'))/data/array-node{embedding})
return vec:dot-product($vec1,$vec2)
=> The dot product between vectors in JSON arrays named 'embedding'
in documents 'pronethalol.json' and 'cell_renewal.json'
Can be used instead of vec:cosine-similarity() if you are sure the
vectors are normalized to magnitude 1.