Build a Full RAG Application on Azure (React + Node + AI Search) – Full Demo

Description

In this chapter of the Advanced RAG Series, we finally move from theory to hands-on implementation! In this video, we will build a complete end-to-end RAG (Retrieval-Augmented Generation) application using Azure — absolutely beginner-friendly and fully practical. You will learn: ✅ Frontend (React) – User Query UI ✅ Backend (Node.js/Express) – API Layer ✅ Azure OpenAI Embedding Model – Generate vectors ✅ Azure AI Search – Vector Search + Hybrid Search ✅ Azure OpenAI Chat Completion – Final Answer ✅ End-to-End RAG Flow: Query → Embedding → Search → LLM Answer → UI This video is specially designed for Pay-As-You-Go users, so all services are used in free or minimal-cost mode, ensuring a safe and budget-friendly setup. By the end of the video, you will have a fully working RAG app, including UI, backend, embeddings, vector database, and final LLM answer generation. If you found this helpful, don’t forget to LIKE 👍, SHARE, and SUBSCRIBE to support the https://www.youtube.com/@TechnoAarambhchannel. Drop your questions in the comments—I’m always happy to help! Keep Learning, Happy Coding — and I’ll see you in the next chapter! #azure #genai #technoaarambh