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Chat with Google Drive documents using GPT, Pinecone, and RAG

n8n16 modulesv1.0

OpenAIGoogle Drive

At a glance

Chat with Google Drive documents using GPT, Pinecone, and 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
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About this workflow

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 workflow when a new file is uploaded or an existing file is updated in a specific Google Drive folder. 2. Download and process the file Retrieve the file, split it into smaller text chunks with a Recursive Character Text Splitter, and generate vector embeddings using OpenAI. 3. Store embeddings in Pinecone Save the embeddings in a Pinecone vector database to keep your knowledge base continuously updated and searchable. 4. Search context for chat queries When a user asks a question, query Pinecone for relevant context, combine results with conversational memory, and process them with GPT-4o. 5. Respond with AI-powered answers Provide a concise response (100–200 words) that blends knowledge from your documents with the conversation history. ⸻ ✅ Use Cases • Keep a live, AI-ready knowledge base from your Google Drive files. • Enable team members to query company documents instantly. • Build a personal assistant that stays up to date with your latest uploads. ⚙️ Setup Steps 1. Google Drive • Create a Google Cloud project. • Enable the Google Drive API. • Generate OAuth credentials and connect them in n8n. 2. OpenAI • Sign up at OpenAI. • Copy your API key from the dashboard. • Add it to n8n under Credentials → OpenAI API. 3. Pinecone • Create an account at Pinecone. • Create a new index (e.g., docs-embeddings). • Copy your API key and environment, then add them to n8n under Credentials → Pinecone API. 4. Workflow Configuration • Import this workflow into your n8n instance. • Select the Google Drive folder you want to monitor. • Set the Pinecone index name in the workflow. • Adjust chunk size / overlap in the text splitter if needed. 5. Test the Workflow • Upload a new document to your Google Drive folder. • Run the workflow to confirm embeddings are created and stored in Pinecone. • Ask a sample query and verify the AI returns a context-aware answer.

Chat with Google Drive documents using GPT, Pinecone, and RAG

At a glance

About this workflow

How to import this n8n workflow

Setup guide

Step 1: Connect your apps

Step 2: Import the workflow JSON

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