Chat with Google Drive documents using GPT, Pinecone, and RAG
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 16 nodes and runs on Google Drive events (file created) (plus 2 other triggers). Along the way it connects OpenAI Chat Model, Vector Store Question Answer, Embeddings OpenAI and Google Drive and 1 more.
How it runs
Trigger: On Google Drive events (file created) (plus 2 other triggers).
- Download File From Google Drive (Google Drive): download
- AI Sales Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Vector Store Tool); memory: Window Buffer Memory
- Pinecone Vector Store: stores documents in the Pinecone vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
- Download File From Google Drive (Google Drive): work with folder
- Generate Embeddings for Search with OpenAI (Embeddings OpenAI): uses Embeddings OpenAI
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 Sales Agent (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Sales Agent (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (11)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - AI Agent
@n8n/n8n-nodes-langchain.agent - Google Drive
n8n-nodes-base.googleDrive - Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone
From the author
📌 Short Overview Automatically sync files from Google Drive into a searchable AI knowledge base with Pinecone, and answer user queries using GPT-4o with conversational memory. ⸻ 🛠️ Workflow Usage Steps 1. Watch Google Drive for file changes Trigger the…