This video tutorial demonstrates building a production-ready multi-agent AI platform called Cortex AI using the MERN stack, microservices architecture, Redis, LangChain, LangGraph, RAG, Docker, and AWS. It covers agents for chat, coding, PDF, PPT, image generation, and web search, along with Google Firebase authentication, session storage via Redis, Razorpay payment integration, and deployment on AWS S3.
A short editorial from the FLOWNIB team on why this content matters.
This video is a comprehensive guide to building a production-ready multi-agent AI platform that goes beyond simple chatbots, integrating advanced AI orchestration with modern web infrastructure.
Unlike typical tutorials, this project demonstrates real-world microservices deployment with payment integration and AWS cloud services, making it a standout portfolio piece for developers.
Full-stack developers and AI enthusiasts should watch this to learn how to architect and deploy a scalable multi-agent system, then build their own version to showcase.
An AI system that uses multiple specialized agents to perform different tasks like chat, coding, and search.
A web development stack comprising MongoDB, Express.js, React, and Node.js.
An architectural style where an application is built as a collection of loosely coupled, independently deployable services.
A library for building stateful, multi-actor applications with LLMs, used to orchestrate AI agents.
Retrieval-Augmented Generation, a technique that combines information retrieval with language model generation.
A payment gateway that allows businesses to accept, process, and disburse payments online.
What is the main tech stack used in this project?
The project uses the MERN stack (MongoDB, Express, React, Node.js) with microservices, Redis, LangChain, LangGraph, RAG, Docker, and AWS.
How many agents are included in the platform?
Six agents: Chat, Coding, Search, PDF, PPT, and Image generation.
How does the authentication work?
Authentication is done via Google Firebase, and session tokens are stored in Redis.
What payment gateway is integrated?
Razorpay is used for processing credit purchases; the demo shows test mode with a dummy card.
Where are generated PDFs and images stored?
They are stored in AWS S3 and provide expiring download links.
Can the coding agent preview generated code?
Yes, it provides a live preview and can also explain the code step by step.
What is the credit system?
Users get 100 free credits initially, and can purchase starter (₹199 for 500 credits) or pro (₹499 for 1000 credits) plans.
Is the platform responsive?
Yes, the UI is fully responsive and works on mobile devices.
What is the role of the gateway service?
The gateway routes requests from the frontend to the appropriate microservice (auth, chat, agents, etc.).
How can I get the source code?
The source code can be purchased for ₹59 from the link in the video description.