This n8n workflow creates a sophisticated AI chatbot system that integrates with long-term memory and note storage, leveraging Google Docs and Telegram. The workflow is triggered upon receiving a chat message via webhook. It retrieves stored long-term memories and notes from Google Docs to provide contextually relevant responses. The AI, powered by OpenAI’s GPT-4 and DeepSeek models, processes the message, manages internal memory, and generates a personalized reply. Additionally, the workflow can save new memories and notes back to Google Docs, ensuring an evolving knowledge base. Practical for customer support or personal assistance, this setup maintains an ongoing context, improves response relevance over time, and offloads memory management to cloud-based storage.
AI-Powered 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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