Transform chatbots into AI advisors with memory and real-time context

How it works

• Receives a user message from a chat • Uses an LLM node to understand user intent and generate a response • Retrieves and stores conversation memory in a database (Supabase) • Fetches real-time product or business data from an external API (e.g. Shopify) • Applies custom logic to ensure a consistent, human-like tone • Sends a contextual response back to the user

Set up steps

• Import the workflow into n8n • Create and connect the required credentials (LLM, database, API) • Configure environment variables and placeholders • Adjust the prompt and logic to your specific business needs • Test the workflow using sample user messages