## 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:
The workflow works as follows:
- We use an evaluation trigger to read in our dataset.
- It is wired up in parallel with the regular trigger so that the workflow can be started from either one. [More info](https://docs.n8n.io/advanced-ai/evaluations/tips-and-common-issues/#combining-multiple-triggers)
- We download the image and use AI to extract the code.
- If we're evaluating (i.e., the execution started from the evaluation trigger), we calculate the string distance metric.
- We pass this information back to n8n as a metric.
Platform
n8n
Category
AI
Price
Free
Creator
David Roberts
combining-multiple-triggers
set
code
webhook
evaluation
stickyNote
httpRequest
openAi
respondToWebhook
evaluationTrigger
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.