Create an AI-Powered RAG Chatbot with Google Drive and Qdrant Integration

This workflow sets up a Retrieval-Augmented Generation (RAG) chatbot that processes and interacts with documents from Google Drive using Qdrant for vector storage and Google's Gemini AI for conversational capabilities.

n8n
Create an AI-Powered RAG Chatbot with Google Drive and Qdrant Integration

The workflow enables the creation of an intelligent chatbot that retrieves documents from a specified Google Drive folder, processes them into manageable chunks, and extracts metadata for enhanced search capabilities. The document vectors are stored in Qdrant, allowing efficient retrieval. The chatbot interface, powered by Google Gemini, uses RAG to provide context-aware responses and maintains chat history in Google Docs. It also includes secure delete operations with human verification and Telegram notifications for important operations, ensuring data integrity and supporting batch processing.

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Last updated September 5, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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