Real-time email RAG assistant with Gmail, OpenAI GPT, and PGVector
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 11 nodes and runs when a chat message arrives (plus 1 other trigger). Along the way it connects Gmail, Embeddings OpenAI, Postgres PGVector Store and OpenAI Chat Model.
How it runs
Trigger: When a chat message arrives (plus 1 other trigger).
- New RAG Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Postgres PGVector Store)
- Get Mail Data (Gmail): get
- Postgres PGVector Store: stores documents in the Postgres PGVector Store vector store, with embeddings: Embeddings OpenAI; document loader: Enhanced Default Data Loader
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 New RAG Agent (v1.7): 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) New RAG Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (9)
- Gmail Trigger
n8n-nodes-base.gmailTrigger - Gmail
n8n-nodes-base.gmail - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Postgres PGVector Store
@n8n/n8n-nodes-langchain.vectorStorePGVector - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger
From the author
🧠 Email real time RAG Assistant with Gmail, OpenAI & PGVector 📌 Who’s it for This workflow is ideal for: - Professionals - Project managers - Sales and support teams - Anyone managing high volumes of Gmail messages It enables fast and intelligent search…