Multimodal Chat Assistant with GPT-4o for Text, Images, and PDFs

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Built by Cooper Cooper
Created on June 06, 2026

Description

Chat with thing

This n8n template lets you build a smart AI chat assistant that can handle text, images, and PDFs β€” using OpenAI's GPT-4o multimodal model. It supports dynamic conversations and file analysis, making it great for AI-driven support bots, personal assistants, or embedded chat widgets.

πŸ” How it Works

The chat trigger node kicks off a session using n8n's hosted chat UI.
Users can send text or upload images or PDFs β€” the workflow checks if a file was included.
If an image is uploaded, the file is converted to base64 and analyzed using GPT-4o's vision capabilities.
GPT-4o generates a natural language description of the image and responds to the user's question in context.
A memory buffer keeps track of the conversation thread, so follow-up questions are handled intelligently.
OpenAI’s chat model handles both text-only and mixed media input seamlessly.

πŸ§ͺ How to Use

You can embed this in a website or use it with your own webhook/chat interface.
The logic is modular β€” just swap out the chatTrigger node for another input (e.g. form or API).
To use with documents, you can modify the logic to pass PDF content to GPT-4 directly.
You can extend it with action nodes, e.g. saving results to Notion, Airtable, or sending replies via email or Slack.

πŸ” Requirements

Your OpenAI GPT-4o API key
Set File Upload on the chat

πŸš€ Use Cases

PDF explainer bot
Internal knowledge chat with media support
Personal assistant for mixed content

Nodes Used (6)

AI Agent
@n8n/n8n-nodes-langchain.agent
Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
Chat Memory Manager
@n8n/n8n-nodes-langchain.memoryManager
OpenAI
@n8n/n8n-nodes-langchain.openAi
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow