RAG Pipeline

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🔁 Automate Your AI Workflow with n8n, Google Gemini, and Pinecone — Meet CalBot 🤖

Do you work with large sets of documents? Build AI apps that rely on external content? Or just love automation?

Then you’ll love CalBot — a smart workflow I built using n8n that automates everything from file ingestion to vector storage.
It's a plug-and-play solution for document processing, semantic search, and RAG-based applications.

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🚀 What is CalBot?

CalBot is an automated pipeline that does the following:

• Watches a Google Drive folder for new files
• Downloads and processes each file into text chunks
• Embeds those chunks using Google Gemini (PaLM API)
• Stores the embeddings in a Pinecone vector store

All of this is done using n8n — no manual steps, no complex setup.

📌 Ideal for developers building AI assistants, search engines, chatbots, or internal knowledge bases.

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⚙️ The Tech Stack

• n8n for workflow automation
• Google Drive API (file monitoring + download)
• Google Gemini (PaLM) for text embeddings
• Pinecone for fast vector search
• Recursive Text Splitter for clean chunking
• JSON-based workflow that’s easy to import and extend

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🧠 Use Cases

• Retrieval-Augmented Generation (RAG)
• Internal document search
• FAQ bots
• AI-driven content understanding
• Knowledge base enrichment

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📽️ Watch the Full Demo

👉 Watch on YouTube – A complete walkthrough of the CalBot workflow, how it works, and how to set it up.

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💬 Let’s Collaborate

🔧 Want to use this in your project?
📩 Have a custom AI idea you want to automate?
🔁 Need help modifying the workflow?

Let’s connect — I love building automation tools for real-world problems.
Feel free to fork the project, comment below, or reach out.

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🏷️ Tags

#n8n #automation #pinecone #googleai #semanticsearch #rag #nocode #workflowautomation