AI-powered customer support automation system built with n8n, Supabase, RAG, and LLMs. The workflow receives customer inquiries, analyzes their intent, searches the company knowledge base using vector similarity search, and generates accurate context-aware responses automatically.
The system uses Supabase as a vector database to store and retrieve relevant knowledge, allowing the AI agent to answer questions based on company-specific information rather than generic responses. When the system cannot confidently answer a request, it automatically escalates the conversation for human support.
Technologies: n8n, Supabase, RAG, Vector Search, LLM, AI Agent, Webhooks, API Integration.