Build & Update RAG System: Google Drive, Qdrant, Gemini Chat

Automates RAG system creation and updates using Google Drive docs, Qdrant vectors, and Gemini chat. Supports full builds or single-file updates for efficient document management.

This n8n workflow creates and maintains a Retrieval-Augmented Generation (RAG) system by integrating Google Drive as a document source, Qdrant as a vector database, and Google Gemini for intelligent chat interactions. It handles full initial setups by creating or clearing Qdrant collections with cosine similarity metrics, then processes documents from a specified Drive folder: downloading files, extracting text, chunking content, generating embeddings via OpenAI, and storing them in Qdrant for s
Platform
n8n
Category
Commerce
Price
$24.99
Creator
Jonas Sato

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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