LibraryAI & Content Generation★ 7.0
Google Drive PDF RAG with AI Chat
Automates Google Drive folder monitoring to download PDFs, extract and clean text, generate embeddings with Google Gemini, store them in Pinecone vector DB, and enable AI chat queries with context via OpenRouter and Langchain nodes for retrieval-augmented generation.
▮▮▯Intermediate15 min12 nodes
$9.00
SSL secureInstant access24h refund
Card payment via Dodo
Wise · Bank transfer
Wise emailvirginaiagency@gmail.com
Amount$9.00 USD
Referencevai-lib-google
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✦ Built with
Google DriveGoogle GeminiPineconeLangChain
✦ Workflow at a glance
✦ What you get
In thebox.
- workflow.jsonReady-to-import n8n workflow file
- Setup guideStep-by-step deployment instructions
- Node documentationWhat each node does + how to tune it
- Sample dataTest inputs to verify it works end-to-end
- Community supportBest-effort via Telegram / GitHub
- Lifetime updatesNew versions delivered free, forever
✦ Setup
Live inthree steps.
01
Import
Open n8n → Workflows → New from JSON. Drop in the workflow.json you received.
02
Connect
Add credentials for each tool used (OpenAI key, Slack token, etc.). All shown in the setup guide.
03
Test & activate
Run on sample data to verify the flow. Toggle the workflow to active and you're shipping.
✦ Stack · 4 tools
The fullintegration map.
AI
2
Google GeminiLangChain
Google
1
Google Drive
Database
1
Pinecone
✦ Related
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✦ Ready when you are
Deploy Google Drive PDF RAG
Free to license through our library tier. Custom builds in 1–3 days.