This n8n workflow creates a sophisticated AI chatbot capable of engaging in dynamic conversations, analyzing images and PDFs, and storing chat history for context-aware interactions. The workflow is designed for scenarios like AI-driven support systems, virtual assistants, or embedded chat widgets for websites.
The process begins with a webhook trigger, allowing users to start a chat session or upload files. When a file (image or PDF) is received, the workflow analyzes its content using OpenAI’s multimodal GPT-4o model, generating detailed descriptions and potential user questions. These insights are stored in memory nodes for context.
The core of the workflow is the chat node, which facilitates real-time discussions. It leverages memory buffers to remember previous interactions, enabling coherent and contextually relevant responses. The system also incorporates an agent that uses the chat history and user input to generate expert-level advice, making the chatbot highly responsive and informative.
Use case scenarios include customer support bots, interactive assistants for internal tools, or any application requiring natural language understanding combined with file content analysis. This flexible setup ensures an engaging, intelligent, and context-aware user experience.
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