AI-Powered Telegram Customer Support with GPT-5 and Pinecone

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This n8n workflow creates an intelligent customer support system that interacts with users via Telegram. It leverages GPT-5 for natural language understanding and response generation, complemented by a vector database (Pinecone) for retrieving relevant FAQ data and policies. The workflow starts with a Telegram message trigger, processes the query through a LangChain GPT-5 agent with contextual memory, retrieves pertinent information from Pinecone using embedded vector search, and finally responds to the user in Telegram with an accurate, context-aware reply. This setup is ideal for automating customer support, managing FAQs, and providing multilingual assistance in e-commerce, SaaS, or community platforms.

Node Count

11 – 20 Nodes

Nodes Used

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

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