Automated product email support with GPT-4.1, Pinecone RAG, and Gmail
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 12 nodes and runs on Gmail events. Along the way it connects Vector Store Question Answer, Pinecone Vector Store, Embeddings OpenAI and OpenAI Chat Model and 1 more.
How it runs
Trigger: On Gmail events.
- Assess if message needs a reply (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat; output parser: JSON Parser
- If: checks a condition and branches into true / false
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Answer questions with a vector store)
- Gmail: reply
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
- Also check Gmail Trigger below v1.4 runs as v1.4 (drafts skipped, max emails per poll).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Gmail Trigger
n8n-nodes-base.gmailTrigger - If
n8n-nodes-base.if - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Gmail
n8n-nodes-base.gmail - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
Description This workflow is built for e-commerce store owners, customer support teams, and retail businesses who want to provide instant, intelligent email support without hiring additional staff. If you're tired of manually responding to customer inquiries,…