This n8n workflow creates an advanced, multi-functional study assistant accessible via Telegram. It leverages various AI models, including OpenAI and Google Gemini, to process user queries related to signal processing, mathematics, and general knowledge. When a message is received, the workflow evaluates whether it’s text or voice, extracts the necessary data, and routes it through AI models for analysis, explanation, or calculation. The system also accesses Wikipedia for definitions, stores personalized memories in Airtable, and can generate content or responses, which are then sent back to the user via Telegram. Designed as a comprehensive educational tool, this workflow is ideal for students or learners seeking instant help, explanations, and problem-solving guidance in real time.
Interactive Telegram-Based AI Study Assistant Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolWikipedia, @n8n/n8n-nodes-langchain.toolWorkflow, aggregate, airtable, airtableTool, merge, set, switch, telegram, telegramTrigger |
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