This workflow automates a comprehensive AI-powered Telegram assistant that handles voice messages, search, and data processing tasks seamlessly. It starts with listening for incoming Telegram events, particularly voice messages, and converts audio to text using AI models. The workflow then analyzes the content type and responds accordingly. It integrates with several services, including Google Drive, Google Calendar, Brave Search, and AI language models like Google Gemini and OpenAI, enabling web searches, document management, and scheduling. Additionally, it manages PDF searches, OCR processing, and vector-based knowledge retrieval using Qdrant, allowing advanced Q&A and information retrieval through custom AI models like Mistral and Gemini. Practical use cases include virtual assistants for customer support, scheduling, research, voice communication, and document handling, making it ideal for automating complex interactions on Telegram with AI capabilities.
AI-Powered Telegram Assistant Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @brave/n8n-nodes-brave-search.braveSearch, @brave/n8n-nodes-brave-search.braveSearchTool, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.retrieverVectorStore, @n8n/n8n-nodes-langchain.textSplitterTokenSplitter, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolThink, @n8n/n8n-nodes-langchain.vectorStoreQdrant, code, dateTimeTool, googleCalendar, googleCalendarTool, googleDocs, googleDrive, httpRequest, n8n-nodes-mcp.mcpClientTool, set, splitInBatches, stickyNote, switch, telegram, telegramTrigger, wait |
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