Your team built a RAG-based customer support assistant on Azure AI Foundry that retrieves passages from an internal knowledge base and generates answers. During pre-production evaluation, stakeholders complain that the assistant sometimes produces answers that are well written and topically related to the question but are NOT actually supported by the retrieved passages. You need to run an evaluation that specifically quantifies whether generated answers are backed by the retrieved context. Which built-in evaluator should you configure?