Builds an automated RAG system that syncs Google Drive docs to Qdrant using OpenAI embeddings and Gemini for context-aware Q&A.
This n8n workflow creates a fully automated Retrieval-Augmented Generation (RAG) system integrating Google Drive, Qdrant vector database, OpenAI embeddings, and Google Gemini. It monitors a specified Google Drive folder for new or updated documents, automatically downloading, chunking, embedding, and storing them in Qdrant with metadata like file ID and name. This enables a self-updating knowledge base without manual intervention.
Key benefits include efficient semantic search via vector embedd
Platform
n8n
Category
Development & IT
Price
$27.99
Creator
QualityWorkflows
RAG
OpenAI
Google Gemini
Qdrant
Google Drive
Vector Database
Embeddings
Knowledge Base
AI Automation
Data Ingestion
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.