How to use Vector Distance Calculator
Calculate Euclidean distance and cosine similarity for equal-length finite numeric JSON vectors.
- Set Text.
- Set Other.
- Run the tool, review the result and its stated limitations, then copy or download if needed.
Example & practical use
Calculate Euclidean distance and cosine similarity for equal-length finite numeric JSON vectors. The example below demonstrates Text; Other.
Example input:
{
"text": "[1,0]",
"other": "[0,1]"
}
Expected result (relevant fields):
{
"euclidean": 1.4142135623730951,
"cosine": 0
}Features & result limitations
Calculate Euclidean distance and cosine similarity for equal-length finite numeric JSON vectors.
Frequently asked questions
What inputs does Vector Distance Calculator accept?
Text; Other
How should I interpret the Vector Distance Calculator result?
Calculate Euclidean distance and cosine similarity for equal-length finite numeric JSON vectors.
Where does Vector Distance Calculator process my data?
Inputs are processed locally in your browser. Submitted text is not sent to external services. A successful-run event increments an aggregate tool counter without your input.