This workflow transforms a Telegram bot into ‘J.A.R.V.I.S.’, a sophisticated multimodal AI assistant capable of understanding and processing text, voice messages, images, and documents. Upon receiving a message, it intelligently routes the input based on its type: text, voice, image, or document. Text messages are directly processed by the AI, while voice messages are transcribed into text for further analysis. Images are downloaded and analyzed using OpenAI’s vision models, and documents are stored in a vector database for contextual referencing. The core AI agent leverages multiple advanced tools such as web search, website scraping, image generation, and calculations to generate comprehensive responses, which can be delivered as text or audio. This workflow is ideal for developers and businesses aiming to create an interactive, intelligent assistant on Telegram for customer support, information retrieval, or personal assistance. Setup involves configuring API keys for Telegram, OpenAI, SerpAPI, and Jina AI, with customization options to modify AI personality, tools, and response formats. Practical use cases include automating complex queries, multilingual support, or multimodal customer interactions, providing a seamless and rich user experience.
Multimodal Telegram AI Assistant with OpenAI Integration
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.textSplitterTokenSplitter, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolHttpRequest, @n8n/n8n-nodes-langchain.toolSerpApi, @n8n/n8n-nodes-langchain.toolThink, @n8n/n8n-nodes-langchain.vectorStoreInMemory, code, if, set, stickyNote, switch, telegram, telegramTrigger |
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