Azure-Samples/contoso-chat
A retail RAG copilot built on GPT-4 and Azure AI Foundry that grounds responses in product and customer data.
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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.
Frequently asked
- What is Azure-Samples/contoso-chat?
- A retail RAG copilot built on GPT-4 and Azure AI Foundry that grounds responses in product and customer data.
- Is contoso-chat open source?
- Yes — Azure-Samples/contoso-chat is open source, released under the MIT license.
- What language is contoso-chat written in?
- Azure-Samples/contoso-chat is primarily written in Bicep.
- How popular is contoso-chat?
- Azure-Samples/contoso-chat has 766 stars on GitHub.
- Where can I find contoso-chat?
- Azure-Samples/contoso-chat is on GitHub at https://github.com/Azure-Samples/contoso-chat.