Self-Updating RAG System: OpenAI, Gemini, Qdrant & Drive
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.
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