This workflow creates an advanced Telegram support chatbot capable of handling various media inputs, including text, images, voice recordings, and documents. It preprocesses the different input types by translating, analyzing, and extracting content, then employs AI models and a vector database to provide context-aware, informed responses. The workflow integrates multiple services such as Telegram for messaging, OpenAI for language understanding, Cohere for ranking, and Supabase for storing document embeddings. By supporting a broad range of file types and using a Robust Routing System, it ensures intelligent and accurate interactions, ideal for customer support and knowledge management scenarios on WordPress or other platforms.
Intelligent Telegram Support Chatbot with Multi-Modal AI
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.memoryPostgresChat, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.rerankerCohere, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreSupabase, code, extractFromFile, googleDrive, httpRequest, if, manualTrigger, set, stickyNote, switch, telegram, telegramTrigger |
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