I Built an AI Chatbot That Can Read Your Documents Using RAG

In this tutorial, I built an **AI chatbot that can read and understand your documents using RAG (Retrieval-Augmented Generation)**. You’ll see how to create a document-based AI chatbot that can retrieve relevant information from your files and generate accurate, context-aware answers. This is a practical *AI automation project* using **RAG, AI agents, vector databases, embeddings, and LLMs**. 🚀 *What you’ll learn:* How RAG works How to build an AI chatbot for documents Document processing and text extraction Embeddings and vector databases Retrieval-Augmented Generation How AI answers questions from your own data How to build practical AI automation workflows This project is useful for building **AI assistants, knowledge-base chatbots, customer support bots, document Q&A systems, and business automation tools**. If you’re learning **AI automation, AI agents, RAG, n8n, or generative AI**, this tutorial will give you a practical project you can build and customize. 👍 Like the video, subscribe, and turn on notifications for more **AI automation, AI agents, RAG, n8n, and vibe coding tutorials**. 🚀 Subscribe for Daily videos on AI agents, workflow automation, Vibe coding, productivity, business systems, and the latest AI tools to stay ahead in the age of automation. Follow on other socail medai accounts 👇 Facebook:   / uzairwahabai   Instagram:   / uzair_wahabai   Linkedin:   / uzairwahabai   Tiktok:   / uzair_wahabai   Threads: https://www.threads.com/@uzair_wahabai X: https://x.com/uzair_wahabai For Business Inquiries 👇 Email: uzairwahab044@gmail.com #AIAutomation #n8n #AIAgents #WorkflowAutomation #ChatGPT #OpenAI # #aiwebsite #vibecoding #NoCode #BusinessAutomation#RAG#vecterData Base