RAG Document QA System: Milvus, Cohere, OpenAI for Google Drive - n8n Workflow | Neura Market
RAG Document QA System: Milvus, Cohere, OpenAI for Google Drive
Monitors Google Drive for new PDFs, extracts text, embeds with Cohere into Milvus, and enables RAG QA agent with OpenAI for intelligent queries.
This n8n workflow builds a Retrieval Augmented Generation (RAG) system that automatically processes new PDF files from a Google Drive folder. It triggers on new files, downloads them, extracts text content, chunks the data, generates embeddings using Cohere, and stores them in a Milvus vector database. This setup powers a conversational AI agent capable of answering queries by retrieving relevant document chunks and generating responses with OpenAI (ChatGPT 4o).
Key benefits include seamless au
Platform
n8n
Category
Health & Fitness
Price
$24.99
Creator
Matt Buds
RAG
Milvus
Cohere
OpenAI
Google Drive
PDF Extraction
Vector Database
AI Agent
Document QA
Retrieval
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.