This n8n workflow dynamically generates a realistic sample dataset based on a single topic you provide. It uses OpenAI (via LangChain) and n8n’s built-in nodes to:
This n8n workflow dynamically generates a realistic sample dataset based on a single topic you provide. It uses OpenAI (via LangChain) and n8n’s built-in nodes to: Generate structured JSON data for 5 columns with 3–5 values each Flatten that data into a single text blob Infer meaningful column names via a second AI call Pivot, split, merge, and rename columns automatically Output a clean, labeled dataset ready for export or further processing ⚙️ Prerequisites OpenAI API Key Vis
Marketplace
Independent
Category
engineering
More like this
Browse engineering agents →
Refrax
Command-Line Agentic Refactoring of Java Code
Free
engineeringOpencode Plan Manager
A simple collection of tools for better plan management by AI agents on OpenCode.
Free
engineeringTabnine
Privacy-first AI code completion for enterprise teams
$12/mo
engineeringKitwork
Automate kit workflows effortlessly with a lightweight, high-performance, fast, and flexible engine for cloud or self-hosted environments.
Free