Build a customer support RAG agent with GPT-5, Telegram & Pinecone
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 7 nodes and runs on Telegram events (message). Along the way it connects Telegram, OpenAI Chat Model, Pinecone Vector Store and Embeddings OpenAI.
How it runs
Trigger: On Telegram events (message).
- GPT-5 Customer Support Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Pinecone Vector Store); memory: Simple Memory
- Telegram: uses Telegram
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Telegram
n8n-nodes-base.telegram - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
🧠 RAG-Based Customer Support Agent (GPT-5 + Telegram) Description: This workflow builds a powerful Retrieval-Augmented Generation (RAG) Customer Support Agent that interacts with users directly through Telegram using the GPT-5 model. It combines real-time…