Your team built a customer-support summarization app on Azure AI Foundry. Product owners want an automated pre-deployment evaluation that measures how closely the model-generated summaries match a curated set of human-written reference summaries, so regressions in summary fidelity can be caught before each release. Which built-in Foundry evaluator should you configure for this requirement?