May 14
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Build production-ready AI applications with this complete Multi-Modal RAG & MCP Server course using Next.js 16 and LangChain. Learn how to create advanced Retrieval-Augmented Generation (RAG) systems that work with text, images, PDFs, tables, screenshots, and more. In this hands-on tutorial, you’ll explore Multi-Modal AI pipelines, MCP Server integration, vector databases, embeddings, AI agents, streaming responses, and modern full-stack AI architecture using Next.js 16, React, TypeScript, and LangChain. Perfect for developers who want to build real-world AI SaaS apps, ChatPDF clones, AI assistants, and autonomous AI workflows with the latest AI engineering tools and techniques. ## Technologies Used LangGraph LangChain Javacript TypeScript Vector Databases Retrieval-Augmented Generation (RAG) Become a Wizard Member https://www.patreon.com/14026907/join JOIN THE AI HERO COURSE ⭐🌟✨ Join here : https://forms.gle/1B1tKJ4CzgjnBXFY6 Check out NotebookLM : https://youtu.be/qci2YEqDbFk Check out N8N Clone : https://youtu.be/jNtq3oJf6qM Check out RAG Full-Course : https://youtu.be/x6ozBq4Tqao LangChain MCP Server : https://youtu.be/tbzSmR7RHrI Human-In-Loop Course : https://youtu.be/nRSqpaX7Fsg 📂 Get the Full Source Code + Project Files (Free Download) Join for free to access : https://www.patreon.com/posts/multi-modal-rag-158223198?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link TimesCode 0:00 - Introduction 01:05 - Basic RAG Pipeline & Multi-Vector Retriever 20:15 - Extracting text,Images and Tables 45:58 - Build & Connect a MultiModal RAG Agent to an MCP Server #LangChain #AI #MLOps #Python #GenerativeAI #AIAgents #RAG #MachineLearning #ArtificialIntelligence