Building a Customer Support AI Agent for Ecommerce with n8n - Complete RAG System Tutorial
Michele Torti via YouTube
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Learn to build a complete AI-powered customer support agent for e-commerce stores using n8n automation platform in this comprehensive 20-minute tutorial. Discover how to create an automated system that classifies incoming customer emails, retrieves relevant information from your knowledge base, and generates human-like email responses for team review. Master the implementation of a 4-step system including email classification into categories like "Support" or "Promotional," building a RAG (Retrieval-Augmented Generation) system for document-based question answering, setting up a vector database using Supabase as the AI agent's knowledge brain, and configuring Telegram notifications for team collaboration. Follow along as the instructor demonstrates email triggering and classification, RAG system architecture, AI agent prompting techniques, team notification setup, and concludes with a live demonstration of the complete workflow in action.
Syllabus
00:00 - Intro
01:55 - The 4-Step System
03:23 - Part 1: Trigger & Classify Incoming Emails
07:31 - Part 2: The RAG System
08:10 - The Agent's Brain
09:11 - Prompting the AI Agent
14:30 - Part 3: Informing Team via Telegram
16:53 - Live Demo
19:42 - Outro
Taught by
Michele Torti