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Stock Earnings Report RAG Analysis Workflow
LibraryAI & Content Generation7.0

Stock Earnings Report RAG Analysis Workflow

Automates financial analysis of Google's last 3 quarters earnings by loading PDFs from Google Drive, creating embeddings via Google Gemini, storing/retrieving with Pinecone vector DB, and generating detailed markdown reports saved to Google Docs using AI agents.

▮▯▯Beginner5 min8 nodes
$9.00
Instant access
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Wise emailvirginaiagency@gmail.com
Amount$9.00 USD
Referencevai-lib-stock-
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✦ Built with
Google DriveGoogle GeminiPineconeGoogle Docs
✦ Workflow at a glance
✦ What you get

In thebox.

  • workflow.json
    Ready-to-import n8n workflow file
  • Setup guide
    Step-by-step deployment instructions
  • Node documentation
    What each node does + how to tune it
  • Sample data
    Test inputs to verify it works end-to-end
  • Community support
    Best-effort via Telegram / GitHub
  • Lifetime updates
    New 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.

Google
2
Google DriveGoogle Docs
AI
1
Google Gemini
Database
1
Pinecone
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✦ Ready when you are

Deploy Stock Earnings Report RAG

Free to license through our library tier. Custom builds in 1–3 days.