This workflow creates a sophisticated AI-powered chatbot that leverages long-term memory, note storage, and integration with services like Google Docs and Telegram. It begins with a webhook trigger to receive chat messages, then processes and evaluates the input to decide whether to update memories or store notes. Using language models like GPT-4 or DeepSeek, it generates personalized responses, recalling past interactions through stored memories and notes for a context-aware experience. The workflow also seamlessly updates Google Docs with memories and notes, ensuring data persistence and easy retrieval. Ideal for developing intelligent virtual assistants, customer support bots, or personal productivity tools, this setup enhances interactions by maintaining a rich knowledge base over time.
AI-Driven Chatbot with Memory & Note Storage Integration
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, aggregate, googleDocs, googleDocsTool, merge, set, stickyNote, telegram |
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