Beginner AI dataset generator using OpenAI + LangChain in n8n

Name: Beginner AI dataset generator using OpenAI + LangChain in n8n
Availability: InStock
Author: Robert Breen

Beginner AI dataset generator using OpenAI + LangChain in n8n preview

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Important notice

This workflow is provided as-is. Please review and test before using in production.

Overview

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
- Visit: https://platform.openai.com/account/api-keys
- Create a new key
- In n8n: Credentials → New → OpenAI API, paste key, name it “OpenAi account”
LangChain nodes enabled in your n8n instance

🥇 Step 1: Set Up OpenAI Credential

Go to OpenAI API Keys
Create and copy your key
In n8n: Credentials → New → OpenAI API → paste key as “OpenAi account”

🥈 Step 2: Manual Trigger

Add Manual Trigger to start the workflow

🥉 Step 3: Set Topic

Add a Set node named Set Topic to Search
Field: Topic = n8n use cases (or any topic you choose)

✨ Step 4: Generate Structured Data

LangChain Agent node Generate Random Data
Connect to OpenAI Chat Model1 and Tool: Inject Creativity1
System prompt: instruct AI to output 5 columns of realistic values in JSON

🔧 Step 5: Parse AI Output

Structured Output Parser to validate JSON

🔄 Step 6: Flatten Data

Code node Outpt all Data to One Field
Joins all values into a comma-separated string for column naming

🧠 Step 7: Generate Column Names

LangChain Agent Generate Column Names
Connect to OpenAI Chat Model2
Prompt: infer 5 column names from the string

🔢 Step 8: Pivot Names Row

Code node Pivot Column Names transforms array into { column1: name1, … }

🪓 Step 9: Split Columns

5 SplitOut nodes to break each array back into rows per column

🔗 Step 10: Merge Rows

Merge node Merge Columns together using combineByPosition

🏷️ Step 11: Rename Columns

Set node Rename Columns assigns the AI-generated names to each column

🔗 Step 12: Final Output

Merge Append Column Names combines data and header row

🏁 Done! You now have a fully AI-driven, labeled dataset generated from a single topic—no external services needed. Easily extend by adding a Google Sheets or HTTP node to export.

📬 Need Help or Want to Customize This?

📧 [email protected]
🔗 LinkedIn

Robert Breen

90 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.toolthink @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.manualtrigger n8n-nodes-base.stickynote n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent n8n-nodes-base.code

Complexity

advanced

Published 08 Aug 2025

Likes 0

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Install path: /data/workflows/7154/7154.json

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Beginner AI dataset generator using OpenAI + LangChain in n8n

Workflow preview

Important notice

Overview

⚙️ Prerequisites

🥇 Step 1: Set Up OpenAI Credential

🥈 Step 2: Manual Trigger

🥉 Step 3: Set Topic

✨ Step 4: Generate Structured Data

🔧 Step 5: Parse AI Output

🔄 Step 6: Flatten Data

🧠 Step 7: Generate Column Names

🔢 Step 8: Pivot Names Row

🪓 Step 9: Split Columns

🔗 Step 10: Merge Rows

🏷️ Step 11: Rename Columns

🔗 Step 12: Final Output

📬 Need Help or Want to Customize This?