Telegram AI Chatbot Integrating InfraNodus Knowledge Graphs

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This workflow creates an intelligent Telegram-based AI chatbot that leverages InfraNodus knowledge graphs to provide expert insights and enriched responses. When a user sends a message, the bot activates, retrieves relevant knowledge from multiple specialized Graph RAG tools, and synthesizes an informed reply. The setup involves a Telegram trigger to start the conversation, a ChatGPT model (GPT-4) for natural language understanding, and several InfraNodus graph-based tools that serve as ‘experts’ in diverse domains such as support, ideation, and complex systems. The workflow also maintains conversation context with a memory buffer, giving the chatbot the ability to reference previous messages. Practical uses include support bots, idea generation assistants, or knowledge-sharing agents tailored to niche topics, all accessible via Telegram for real-time interaction.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, httpRequestTool, stickyNote, telegram, telegramTrigger

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