Automates survey response clustering via Qdrant embeddings and Python, generating AI insights on participant groups. Imports/exports via Google Sheets, saving researchers days of manual analysis.
This n8n workflow processes survey data from Google Sheets, embedding responses into a Qdrant vector store tagged with question and metadata. It applies a Python-based clustering algorithm per question to group similar responses automatically.
For each cluster, the workflow loops to fetch full response payloads and feeds them to an AI agent powered by OpenAI, which summarizes key themes, positives, negatives, and insights. Results, including raw responses and generated summaries, are exported b
Platform
n8n
Category
Crypto & Blockchain
Price
$24.99
Creator
Fred Garcia
survey
insights
Qdrant
vector-embeddings
clustering
Python
OpenAI
Google-Sheets
AI-agent
research
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.