Generate LinkedIn posts using Google Gemini, MongoDB Atlas, Google Drive and Sheets

🚀 How the System Works

This automation operates in three distinct phases: Ingestion, Storage, and Generation.

| Phase | Component | What Happens | | --- | --- | --- | | 1. The Trigger | Google Drive | Every time you update your ragposts.csv in your Drive folder, the system wakes up. | | 2. The Brain | Gemini Embeddings | It turns your text into "Vectors" (numbers) so the AI understands the meaning of your writing style, not just the words. | | 3. The Vault | MongoDB Atlas | Your posts are stored in a vector database, acting as a "Style Library" the AI can browse instantly. | | 4. The Writer | AI Agents | When you ask for a post, the AI searches your vault, finds the best matches, and mimics the formatting exactly. |

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🛠️ Step-by-Step Setup Guide

1. Prepare Your Data Source

Create a Google Drive Folder and note its ID (the long string of characters in the URL). Create a CSV file named ragposts.csv. Columns needed: Post Text, Hook Type, Engagement, Category. Upload it to that folder.

2. Configure MongoDB Atlas (The Vector Store)