Evaluation metric example: String similarity

AI evaluation in n8n This is a template for n8n's evaluation feature. 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: The workflow works as follows: We use an evaluation trigger to

Help me set up the n8n workflow "Evaluation metric example: String similarity" (https://n8n.io/workflows/4274). It uses: HTTP Request, Code, OpenAI, Evaluation. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.