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