Google Drive Automation
14 nodes · agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader
- Engine
- n8n
- Nodes
- 14
- Trigger
- scheduled/triggered
- Source file
- 1906_Code_Extractfromfile_Automate_Triggered.json
Workflow flow
Monitor Google Drive for New Files
Google Drive
Generate Document Embeddings (Google Gemini)
@n8n/n8n-nodes-langchain.embeddingsGoogleGemini
Load Document Data for Processing
@n8n/n8n-nodes-langchain.documentDefaultDataLoader
Split Document Text into Chunks
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter
Chat Message Trigger
@n8n/n8n-nodes-langchain.chat
Generate Query Embeddings (Google Gemini)
@n8n/n8n-nodes-langchain.embeddingsGoogleGemini
OpenRouter Chat Model Interface
@n8n/n8n-nodes-langchain.lmChatOpenRouter
Download File from Google Drive
Google Drive
Retrieve Relevant Documents from Pinecone
@n8n/n8n-nodes-langchain.vectorStorePinecone
Extract PDF Content
ExtractFromFile
Generate Chat Prompt with Context
Code
AI Agent
@n8n/n8n-nodes-langchain.agent
Clean and Normalize PDF Text
Code
Insert Document into Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone
14 steps · flows top to bottom, branches left to right
Browse by integration
Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- Test with manual execution before enabling triggers.
Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.
Overview
Free n8n workflow: Google Drive Automation. 14 nodes across agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat, with a downloadable JSON and a visual flow diagram on OpenRuna.
What this workflow does
Built in n8n, "Google Drive Automation" chains 14 nodes to move data between agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat. 14 nodes · agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader It starts from a scheduled/triggered trigger and routes data through every node in order. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Study how data moves from agent to googleDrive before building your own variant.
- Share it with your team as a documented reference for scheduled/triggered automations in the agent stack.
- Import "Google Drive Automation" into n8n, reconnect credentials for agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat, and run the same automation in your own workspace.
- Use it as a starting template when wiring agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat — adjust node parameters to your accounts and record IDs.
Example output
Imported into n8n, "Google Drive Automation" exposes 14 configured nodes. Trigger type: scheduled/triggered. Integrations: agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat. Set your credentials on the agent node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.
Tips by platform
Claude
Ask Claude to turn the "Google Drive Automation" JSON into a plain-English runbook, node by node. It can flag where agent rate limits or missing retries might bite before you go live.
ChatGPT
Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "Google Drive Automation" — extract agent IDs and secrets into environment variables without changing the 14-node structure.
Frequently asked questions
- How do I import "Google Drive Automation" into n8n?
- Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
- Which integrations does "Google Drive Automation" use?
- It uses: agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat. The flow diagram above shows how each service connects across the 14 nodes. Filter OpenRuna by integration to find related workflows and tools.
- Can I import a sanitized export without credentials?
- Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own agent and googleDrive credentials in n8n after import.
- What trigger type does "Google Drive Automation" use?
- Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
- Is "Google Drive Automation" free to use?
- OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for agent, googleDrive, extractFromFile, vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chat.
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