This n8n workflow provides an integrated system for managing chat interactions, processing data, and generating responses using AI. It leverages multiple services including Telegram, OpenAI, and custom memory management to enable dynamic conversational workflows and data analysis. The process begins by triggering on incoming Telegram messages, filtering based on chat ID, and setting session-specific context. It incorporates an AI agent that interacts with OpenAI’s chat models to generate responses, perform calculations, and fetch insights such as Meta Ads data. The workflow maintains conversational memory buffers to ensure contextual continuity, and it can execute other workflows as needed. Ideal for building intelligent chatbots, automated customer support, or data-driven conversation systems within WordPress or other platforms, this setup enables seamless AI-powered interactions and data analysis within an integrated automation framework.
Automated Chat & Data Processing with n8n and AI
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.memoryManager, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolHttpRequest, @n8n/n8n-nodes-langchain.toolWorkflow, executeWorkflowTrigger, filter, set, stickyNote, telegram, telegramTrigger |
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