A real Voice AI RAG Agent for my website (n8n)

Introduction

Artificial Intelligence is evolving fast, but most AI assistants still fail when asked real business questions. In this project, I built a Voice AI RAG Agent for my website — Catalyst Smart Classroom — that can retrieve accurate information before responding.

What Is a Voice RAG Agent?

RAG (Retrieval-Augmented Generation) allows an AI system to fetch data from a knowledge base before generating a response. Instead of guessing, the AI retrieves real information and then answers.

Project Overview

• Voice-based AI assistant
• Answers real website-related questions
• Uses external knowledge retrieval
• Works in real-time

Tech Stack Used

• ElevenLabs – Conversational AI & Voice
• n8n – Workflow automation
• RAG – Retrieval-Augmented Generation
• LLM – Gemini / OpenAI compatible

Live Demo Video

In the video below, you can see the Voice AI answering real questions by retrieving data from its knowledge base.

🎯 Special Announcement:
If this video reaches 200 likes, I will publish a complete step-by-step tutorial explaining:

• RAG architecture design
• n8n workflow breakdown
• Prompt engineering strategies
• Common mistakes and fixes

Why This Matters

Most AI demos are scripted. This project proves that AI can be engineered to work reliably in real-world scenarios.

Final Thoughts

This is just the beginning. More advanced AI workflows, Linux, DevOps, and real engineering projects are coming soon.

Stay curious. Chill & Compile.