This n8n workflow orchestrates an intelligent chatbot that leverages Google Gemini and ChatGPT models to interact with users via Telegram, process and maintain conversational context, and generate both text-based and visual content on demand. The workflow begins by capturing user messages and managing session data to maintain context. It employs intent classification to determine whether the response should be text or image generation. For text responses, it constructs prompts based on user instructions and conversation history, utilizing language models to generate coherent replies. For visual content, it creates detailed descriptions and calls an API to generate images, which are then sent back to the user through Telegram. This setup ensures a seamless, context-aware, and versatile conversational experience suitable for customer support, creative assistance, or engaging user interactions.
Automated AI-Powered Conversational Content Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.memoryManager, @n8n/n8n-nodes-langchain.outputParserStructured, code, convertToFile, httpRequest, set, stickyNote, switch, telegram, telegramTrigger |
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