n8n AI Automation Masterclass: Build AI Chatbots (Hindi)

About this course

Building intelligent, context-aware AI chatbots requires more than just connecting to an Gemini API, it requires smart workflows, precise document retrieval, and dynamic memory. This course teaches you how to architect production-ready conversational agents using the combined power of n8n, LLMs, and Vector Search.

Taught entirely in Hindi, we will dive deep into the mechanics of RAG (Retrieval-Augmented Generation). You will discover exactly how to connect vector databases, manage conversation history, and deploy scalable AI automation without getting bogged down in complex traditional programming.

This course bridges that gap by combining the visual automation power of n8n with modern Large Language Models (LLMs) and Vector Search. Designed specifically for builders, tech enthusiasts, and non-developers alike, this course proves that you don't need to be a hardcore programmer to build production-ready AI.Here is exactly what you will learn step-by-step:n8n Fundamentals: Master the visual node-based interface of n8n to design seamless data workflows and connect external APIs with zero friction.

Building Your First AI Chatbot: Learn how to integrate LLMs (like OpenAI) directly into your workflows to create a fully functioning, responsive AI assistant from scratch.

Mastering Vector Search & RAG (Retrieval-Augmented Generation): This is where the magic happens. You will learn how to upgrade your chatbot with "memory.

" We will cover how to chunk data, create embeddings, and store them in a Vector Database so your AI can fetch highly accurate, context-aware information from your own documents.

From Prototype to Production: Don't just build local experiments. Learn how to handle conversation history, manage user inputs, and deploy a smart, usable chat

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