Answer portfolio questions with live profile data, Groq and chat memory
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 9 nodes and runs when a chat message arrives. Along the way it connects Groq Chat Model.
How it runs
Trigger: When a chat message arrives.
- Guard Input (If): checks a condition and branches into true / false
- Get Profile (Code): runs custom JavaScript code
- Invalid Input Reply (Edit Fields (Set)): sets 1 field: output
- Set Chat Data (Edit Fields (Set)): sets 2 fields: chatInput, profile_json
- Profile Unavailable Reply (Edit Fields (Set)): sets 1 field: output
- Chat Agent (AI Agent): runs an AI agent, with model: Groq Model; memory: Chat Memory
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - If
n8n-nodes-base.if - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq
From the author
Build a conversational AI chatbot for your personal portfolio that answers questions about your experience, skills, projects, and contact info — powered by Groq and live profile data fetched from a JSON endpoint. How it works 1. A visitor sends a message via…