Evaluation metric example: String similarity

AI evaluation in n8n

This is a template for n8n's [evaluation feature](https://docs.n8n.io/advanced-ai/evaluations/overview).

Evaluation is a technique for getting confidence that your AI workflow performs reliably, by running a test dataset containing different inputs through the workflow.

By calculating a metric (score) for each input, you can see where the workflow is performing well and where it isn't.

How it works

This template shows how to calculate a workflow evaluation metric: text similarity, measured character-by-character.

The workflow takes images of hand-written codes, extracts the code and compares it with the expected answer from the dataset.

The images look like this: