Build a RAG App with LangChain, OpenAI & Node.js — Step by Step
How I built a Retrieval-Augmented Generation system at India Today Group for intelligent article search and content automation using LangChain, OpenAI, and MongoDB Atlas Vector Search.
Tech blog · India
Deep dives into React.js, AI and ML integration, MERN stack patterns, and lessons from building production applications at scale in India — written by Deepak Kumar.
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Lead article · AI/ML
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Explore how Jev, a System One model from TypeSafe AI, revolutionises AI decision-making with faster inference and lower costs.
Read the articleHow I built a Retrieval-Augmented Generation system at India Today Group for intelligent article search and content automation using LangChain, OpenAI, and MongoDB Atlas Vector Search.
About the author
Deepak Kumar
Sr Software Engineer at India Today Group | Aaj Tak
Building scalable web applications and Generative AI systems. Writing about React, Node.js, AI and the engineering lessons from 9+ years of production work.
More about meOpen to senior full-stack and AI engineering roles, and to focused contract work. Delhi NCR or fully remote. I reply within 24 hours.
What I take on
Full-stack product build
React, Next.js, Node, NestJS, MongoDB and MySQL — from idea to production.
AI features that ship
OpenAI and LangChain, RAG, semantic search, content and voice automation.
Architecture and scale
Microservices, real-time pipelines and caching — proven at national news scale.
Founding engineer work
Idea to MVP to scale, with SEO and analytics built in from the start.