Your team operates a Retrieval-Augmented Generation (RAG) chatbot deployed in Azure AI Foundry. Users complain that the assistant sometimes fabricates facts that are not present in the retrieved documents. You want to configure an automated evaluation run that specifically quantifies how well each generated answer is supported by the retrieved source context. Which built-in AI quality metric should you select?