This sample demonstrates an end-to-end RAG application for retail customer support. It uses Azure AI Foundry to manage the GPT-4 LLM, Azure AI Search for retrieval, and Prompty for prompt orchestration. The project includes evaluation pipelines, deployment automation via AZD CLI, and GitHub Actions for continuous evaluation and deployment. Intent mapping handles task routing across multiple LLM calls.