Chat with Google Drive documents using Pinecone and OpenAI RAG
Google Drive → Pinecone RAG Chatbot (Auto-Sync & Query) This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone. It continuously keeps a vector database in sync with your company documents and exposes them through an AI chat interface. What this workflow does The workflow monitors a Google Drive folder and automatically reacts to document lifecycle events: - File created - File updated - File deleted Wh
At a glance
Chat with Google Drive documents using Pinecone and OpenAI RAG is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects OpenAI, Google Drive. It's free to download. Follow the 5-step import below to go live in minutes.
- Platform
- n8n
- Connects
- OpenAI, Google Drive
- Modules
- 30
- Price
- Free
- Version
- v1.0

About this workflow
Google Drive → Pinecone RAG Chatbot (Auto-Sync & Query) This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone. It continuously keeps a vector database in sync with your company documents and exposes them through an AI chat interface. What this workflow does The workflow monitors a Google Drive folder and automatically reacts to document lifecycle events: - File created - File updated - File deleted When a document is added or updated: - The file is downloaded from Google Drive - Its content is chunked using a recursive text splitter - Embeddings are generated with OpenAI - Vectors are stored or updated in Pinecone When a document is deleted: The corresponding vectors are removed from Pinecone, keeping the index clean and consistent On the chat side: - A conversational AI agent retrieves relevant vectors from Pinecone - Context is injected into the prompt - The assistant answers questions grounded only on your documents Key features - End-to-end RAG pipeline (ingestion + retrieval + chat) - Automatic vector updates on file changes - Idempotent design (safe re-runs, no duplicated vectors) - Google Drive as a live knowledge source - Pinecone as scalable vector storage - OpenAI embeddings and chat models - Ready-to-use AI chat interface inside n8n Typical use cases - Internal company knowledge base - AI assistant for policies, manuals, and documentation - Team chat over shared Google Drive files - Lightweight alternative to full-blown document search platforms - Prototyping and production RAG systems Who this template is for - n8n users building AI-powered workflows - Teams working with Google Drive documents - Developers implementing RAG architectures - Anyone who wants a self-hosted, controllable, and transparent AI document chatbot This template is designed to be robust, maintainable, and production-ready, while remaining easy to extend with additional data sources, metadata filtering, or alternative LLM providers.
How to import this n8n workflow
- 1
Download the workflow JSON file after purchase.
- 2
Open n8n → click the menu → Import from File.
- 3
Select the downloaded JSON and import.
- 4
Set up credentials for each node that requires them.
- 5
Click Execute Workflow to test, then activate.
Setup guide
Setup guide included
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- JSON blueprint — instant download
- Setup guide PDF included
- 5 downloads · valid 30 days
- Works with n8n
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