RAG Workflow For Company Documents stored in Google Drive

Overview

RAG Workflow For Company Documents stored in Google Drive is a free n8n workflow on OpenRuna — 18 nodes connecting vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent, toolVectorStore, googleDrive, memoryBufferWindow. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"RAG Workflow For Company Documents stored in Google Drive" automates a vectorStorePinecone-to-embeddingsGoogleGemini flow in n8n across 18 nodes. 18 nodes · vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent, toolVectorStore 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

• Share it with your team as a documented reference for scheduled/triggered automations in the vectorStorePinecone stack.
• Study how data moves from vectorStorePinecone to embeddingsGoogleGemini before building your own variant.
• Use it as a starting template when wiring vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent, toolVectorStore, googleDrive, memoryBufferWindow — adjust node parameters to your accounts and record IDs.
• Import "RAG Workflow For Company Documents stored in Google Drive" into n8n, reconnect credentials for vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent, toolVectorStore, googleDrive, memoryBufferWindow, and run the same automation in your own workspace.

Example output

Imported into n8n, "RAG Workflow For Company Documents stored in Google Drive" exposes 18 configured nodes. Trigger type: scheduled/triggered. Integrations: vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent, toolVectorStore, googleDrive, memoryBufferWindow. Open each node after import to map credentials to your own vectorStorePinecone and embeddingsGoogleGemini accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

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Frequently asked questions

How do I import "RAG Workflow For Company Documents stored in Google Drive" 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 "RAG Workflow For Company Documents stored in Google Drive" use?

It uses: vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent, toolVectorStore, googleDrive, memoryBufferWindow. The flow diagram above shows how each service connects across the 18 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 vectorStorePinecone and embeddingsGoogleGemini credentials in n8n after import.

What trigger type does "RAG Workflow For Company Documents stored in Google Drive" 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 "RAG Workflow For Company Documents stored in Google Drive" 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 vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, agent, toolVectorStore, googleDrive, memoryBufferWindow.