n8n Telegram Bot Workflows — KI-Report

key for audio transcription (voice messages)\n Google OAuth2: For Gmail, Drive, Docs, Sheets, Slides, Calendar integration\n Perplexity AI: API key for web search\n ScrapeGraphAI: API key for web scraping\n Qdrant: API key and endpoint for vector database\n Cohere: API key for reranker in RAG\n FTP Server: Credentials to store image files temporarily (optional)\n\nConfigure Postgres Chat Memory\n Set up a PostgreSQL database with the necessary schema for chat memory storage\n Configure the \“Postgres\“ node in n8n to connect to your database\n\nCustomize Sub-Workflows and Tools\n Add or remove sub-workflows as needed, such as image/video generation workflow\n Customize tool configurations within the \“OpenClaw Agents\“ node based on your requirements\n\nTest and Deploy\n Test the workflow with different types of messages (text, voice, images)\n Monitor the system’s performance and make adjustments if necessary\n Deploy the workflow to n8n for continuous operation\n\nThis template serves as a foundation for building an advanced AI-driven Telegram assistant capable of handling complex tasks across multiple platforms. It can be extended with additional tools and integrations to meet specific needs.\n“,
„createdAt“: „2026-03-17T14:59:18.000Z“
},
{
„id“: 13758,
„name“: „Telegram AI Assistant with Gemini, Google Sheets & Voice Recognition“,
„totalViews“: 25,
„price“: 0,
„purchaseUrl“: null,
„description“: „This workflow creates an advanced Telegram-based AI assistant that can understand and respond to user requests using voice recognition. The assistant is powered by the Gemini language model, integrates with Google Sheets for data storage, and provides a seamless conversational experience.\n\nKey Features:\n\nVoice Recognition: Users can interact with the assistant via voice messages, which are transcribed into text before processing.\n\nAI-Powered Responses: The Gemini AI model generates intelligent responses based on user input and conversation history stored in Google Sheets.\n\nGoogle Sheets Integration: User data and conversation logs are stored in a structured Google Sheet for easy access and analysis.\n\nTelegram Communication: The assistant communicates with users through Telegram, providing real-time assistance and updates.\n\nHow it Works:\n\n1. Trigger: The workflow is triggered by incoming voice messages from authorized Telegram users.\n2. Voice Transcription: The received voice message is transcribed into text using a speech-to-text service (e.g., Google Speech-to-Text).\n3. AI Processing: The transcribed text is processed by the Gemini language model, which generates an appropriate response based on user input and conversation history stored in Google Sheets.\n4. Response Generation: The generated response is formatted for Telegram and sent back to the user as a text message.\n5. Conversation Logging: User data and conversation logs are appended to a structured Google Sheet for future reference.\n\nRequirements:\n\nTelegram Bot API credentials (Bot Token)\nGoogle Sheets API credentials\nGemini AI model access\nSpeech-to-Text service integration (e.g., Google Speech-to-Text)\n\nSetup Instructions:\n1. Configure the Telegram Trigger with your bot token and authorized user IDs.\n2. Set up Google Sheets for data storage, including a table to store conversation logs.\n3. Connect your Gemini AI model credentials.\n4. Integrate a speech-to-text service (e.g., Google Speech-to-Text) for voice transcription.\n5. Deploy the workflow in n8n and start interacting with your Telegram-based AI assistant.\n\nCustomization:\nThe workflow can be customized by adding more tools, integrations, or modifying the conversation logic to suit specific use cases.“,
„createdAt“: „2026-03-17T14:59:18.000Z“
},
{
„id“: 13759,
„name“: „Telegram AI Assistant with Gemini, Google Sheets & Voice Recognition“,
„totalViews“: 25,
„price“: 0,
„purchaseUrl“: null,
„description“: „This workflow creates an advanced Telegram-based AI assistant that can understand and respond to user requests using voice recognition. The assistant is powered by the Gemini language model, integrates with Google Sheets for data storage, and provides a seamless conversational experience.\n\nKey Features:\n\nVoice Recognition: Users can interact with the assistant via voice messages, which are transcribed into text before processing.\n\nAI-Powered Responses: The Gemini AI model generates intelligent responses based on user input and conversation history stored in Google Sheets.\n\nGoogle Sheets Integration: User data and conversation logs are stored in a structured Google Sheet for easy access and analysis.\n\nTelegram Communication: The assistant communicates with users through Telegram, providing real-time assistance and updates.\n\nHow it Works:\n\n1. Trigger: The workflow is triggered by incoming voice messages from authorized Telegram users.\n2. Voice Transcription: The received voice message is transcribed into text using a speech-to-text service (e.g., Google Speech-to-Text).\n3. AI Processing: The transcribed text is processed by the Gemini language model, which generates an appropriate response based on user input and conversation history stored in Google Sheets.\n4. Response Generation: The generated response is formatted for Telegram and sent back to the user as a text message.\n5. Conversation Logging: User data and conversation logs are appended to a structured Google Sheet for future reference.\n\nRequirements:\n\nTelegram Bot API credentials (Bot Token)\nGoogle Sheets API credentials\nGemini AI model access\nSpeech-to-Text service integration (e.g., Google Speech-to-Text)\n\nSetup Instructions:\n1. Configure the Telegram Trigger with your bot token and authorized user IDs.\n2. Set up Google Sheets for data storage, including a table to store conversation logs.\n3. Connect your Gemini AI model credentials.\n4. Integrate a speech-to-text service (e.g., Google Speech-to-Text) for voice transcription.\n5. Deploy the workflow in n8n and start interacting with your Telegram-based AI assistant.\n\nCustomization:\nThe workflow can be customized by adding more tools, integrations, or modifying the conversation logic to suit specific use cases.“,
„createdAt“: „2026-03-17T14:59:18.000Z“
},
{
„id“: 13760,
„name“: „Telegram AI Assistant with Gemini, Google Sheets & Voice Recognition“,
„totalViews“: 25,
„price“: 0,
„purchaseUrl“: null,
„description“: „This workflow creates an advanced Telegram-based AI assistant that can understand and respond to user requests using voice recognition. The assistant is powered by the Gemini language model, integrates with Google Sheets for data storage, and provides a seamless conversational experience.\n\nKey Features:\n\nVoice Recognition: Users can interact with the assistant via voice messages, which are transcribed into text before processing.\n\nAI-Powered Responses: The Gemini AI model generates intelligent responses based on user input and conversation history stored in Google Sheets.\n\nGoogle Sheets Integration: User data and conversation logs are stored in a structured Google Sheet for easy access and analysis.\n\nTelegram Communication: The assistant communicates with users through Telegram, providing real-time assistance and updates.\n\nHow it Works:\n\n1. Trigger: The workflow is triggered by incoming voice messages from authorized Telegram users.\n2. Voice Transcription: The received voice message is transcribed into text using a speech-to-text service (e.g., Google Speech-to-Text).\n3. AI Processing: The transcribed text is processed by the Gemini language model, which generates an appropriate response based on user input and conversation history stored in Google Sheets.\n4. Response Generation: The generated response is formatted for Telegram and sent back to the user as a text message.\n5. Conversation Logging: User data and conversation logs are appended to a structured Google Sheet for future reference.\n\nRequirements:\n\nTelegram Bot API credentials (Bot Token)\nGoogle Sheets API credentials\nGemini AI model access\nSpeech-to-Text service integration (e.g., Google Speech-to-Text)\n\nSetup Instructions:\n1. Configure the Telegram Trigger with your bot token and authorized user IDs.\n2. Set up Google Sheets for data storage, including a table to store conversation logs.\n3. Connect your Gemini AI model credentials.\n4. Integrate a speech-to-text service (e.g., Google Speech-to-Text) for voice transcription.\n5. Deploy the workflow in n8n and start interacting with your Telegram-based AI assistant.\n\nCustomization:\nThe workflow can be customized by adding more tools, integrations, or modifying the conversation logic to suit specific use cases.“,
„createdAt“: „2026-03-17T14:59:18.000Z“
},
{
„id“: 13761,
„name“: „Telegram AI Assistant with Gemini, Google Sheets & Voice Recognition“,
„totalViews“: 25,
„price“: 0,
„purchaseUrl“: null,
„description“: „This workflow creates an advanced Telegram-based AI assistant that can understand and respond to user requests using voice recognition. The assistant is powered by the Gemini