Compute the dot product between two vectors

Links datasets through fuzzy string matching using pretrained text embeddings. Produces more accurate record linkage when lexical string distance metrics are a poor guide to match quality (e.g., "Patricia" is more lexically similar to "Patrick" than it is to "Trish"). Capable of performing multilingual record linkage. Methods are described in Ornstein (2025) <https://joeornstein.github.io/publications/fuzzylink.pdf>.

Joe Ornstein

fuzzylink

Probabilistic Record Linkage Using Pretrained Text Embeddings

dot function

<dl><dt>vec1</dt>
<dd>A numeric vector</dd>
<dt>vec2</dt>
<dd>Another numeric vector</dd></dl>

Arguments

Compute the dot product between two vectors — dot

<dl>

<dt>vec1</dt>
<dd>A numeric vector</dd>


<dt>vec2</dt>
<dd>Another numeric vector</dd>

</dl>

dot: Compute the dot product between two vectors

Description

Usage

Value

Arguments

Examples