We’re excited to introduce the Azure AI RAG Vercel Next.JS Template, now available in the Vercel Templates Marketplace. This new template empowers developers to easily deploy retrieval-augmented generation (RAG) applications using Azure AI Search and Azure OpenAI—all with just a few clicks.

What’s Included?

• One-Click RAG Integration: Quickly stand up a RAG application that incorporates battle-tested retrieval from Azure AI Search, and advanced modes like Hybrid Search and Semantic Ranking. This lets you ground Azure OpenAI model responses in relevant, up-to-date data with the top-quality candidates.
• Fully-Managed AI Stack: Leverage Vercel’s global hosting platform and the Vercel AI SDK’s Azure provider to run inference and embedding generation on Azure OpenAI.
• Modern Web App Foundation: Built with Next.js and integrate with the useChat hook for real-time streaming responses, this template ensures a smooth user experience. It also includes pre-configuration for Tailwind CSS, and a vector embedding retrieval workflow backed by Azure AI Search.

Why It Matters

By combining Vercel’s performance-optimized hosting with Azure AI’s robust retrieval and OpenAI model integrations, this template slashes setup time for a RAG solution. Instead of spending days configuring vector databases, embedding pipelines, and streaming endpoints, you can start delivering answers and insights in minutes with a powerful web framework in Next.JS. It’s a powerful jumpstart for any project that wants to harness the powers of Generative AI.

Learn More & Get Started Today

• Template: Azure AI RAG Chatbot
• GitHub Repo: Azure-Samples/azure-ai-vercel-rag-starter: Sample retrieval-augmented generation (RAG) app template using Azure AI Search, Azure OpenAI, and Vercel AI SDK
• Learn more about Azure AI Search: Azure AI Search
• Learn more about Azure OpenAI: Azure OpenAI