Multimodal chat assistant with GPT-4o for text, images, and PDFs
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 12 nodes and runs when a chat message arrives. Along the way it connects OpenAI and OpenAI Chat Model.
How it runs
Trigger: When a chat message arrives.
- If: checks a condition and branches into true / false
- OpenAI: analyze (image)
- chatmem (Chat Memory Manager): uses Chat Memory Manager, with memory: Simple Memory
- Basic LLM Chain: sends a prompt to an LLM, with model: OpenAI Chat Model
- chatmem (Chat Memory Manager): uses Chat Memory Manager, with memory: Simple Memory
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; memory: Simple 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 (8)
- OpenAI
@n8n/n8n-nodes-langchain.openAi - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - If
n8n-nodes-base.if - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Chat Memory Manager
@n8n/n8n-nodes-langchain.memoryManager - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger
From the author
Chat with thing This n8n template lets you build a smart AI chat assistant that can handle text, images, and PDFs — using OpenAI's GPT-4o multimodal model. It supports dynamic conversations and file analysis, making it great for AI-driven support bots,…