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