A team is building an app that must take a user question, retrieve relevant passages from a company knowledge base, then pass both the question and retrieved passages to an LLM to produce a grounded answer. They want to visually design, test, and iterate on these connected steps before deploying. Which Azure AI Foundry tool fits this need?
Select an answer to reveal the explanation.
Short Explanation
You need Prompt flow because it lets you visually wire retrieval and generation into one testable flow, then iterate before deployment. Content filtering, model browsing, and cost dashboards do not design or test that multi-step app logic.
Full Explanation
Prompt flow is Azure AI Foundry's tool for visually building, connecting, and testing a sequence of steps such as retrieval followed by generation, letting the team iterate on how the question and retrieved passages flow into the LLM before deploying the app. Content Safety Studio is incorrect because it is focused on configuring and testing content moderation filters, not on wiring together retrieval and generation steps into an orchestrated pipeline. The model catalog's search and filter options are incorrect because they only help the team locate and compare candidate models to use; they play no role in defining or testing the multi-step logic that connects retrieval to generation. The Foundry cost management dashboard is incorrect because it tracks spending across deployments and resources, which is unrelated to designing or debugging the sequence of steps an application executes at runtime. Prompt flow is purpose-built for exactly this kind of multi-step, retrieval-plus-generation orchestration and testing workflow.