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

Build an AI chat assistant using GPT-4o that handles text, images, and PDFs with conversation memory for dynamic interactions.

n8n
Multimodal Chat Assistant with GPT-4o for Text, Images & PDFs

This n8n workflow creates a smart multimodal chat assistant powered by OpenAI's GPT-4o model, capable of processing text inputs, analyzing uploaded images via vision capabilities, and handling PDFs. It uses n8n's chat trigger for a hosted UI where users can send messages or files. The workflow detects file uploads, converts images to base64 for GPT-4o analysis, generates natural language descriptions, and responds contextually. A memory buffer maintains conversation history, enabling intelligent follow-ups.

Key features include seamless multimodal input handling, modular design for easy integration with webhooks or forms, and extensibility for actions like saving to databases or notifying via Slack/Email. It requires only an OpenAI GPT-4o API key and chat file upload enabled, making setup quick.

Benefits: Saves development time on custom AI chatbots, supports rich media for better user experience, and scales for production use. Ideal use cases: PDF explainer bots, internal knowledge bases with media, personal assistants, customer support with image troubleshooting, or embedded website widgets.

$24.99
Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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