Reliable LLM Structured Data Extraction with Auto-Fixing
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This workflow leverages the power of Large Language Models (LLMs) to extract structured data reliably from natural language prompts. It incorporates an intelligent auto-fixing mechanism and a predefined output schema to ensure the data is always accurate and consistently formatted, minimizing errors and manual intervention.
About This Workflow
Unlock the full potential of AI with this n8n workflow designed for robust structured data extraction. By integrating a Basic LLM Chain with an OpenAI Chat Model (GPT-4o-mini), it processes your prompts to generate rich, detailed information. The core strength lies in its advanced auto-fixing output parser, which dynamically corrects any inconsistencies or deviations from your specified schema. Combined with a Structured Output Parser, you can define exact JSON formats, guaranteeing that every piece of extracted data is not only relevant but also perfectly structured for downstream applications, databases, or analytics.
Key Features
- Intelligent LLM Integration: Utilizes OpenAI's GPT-4o-mini for powerful natural language understanding and generation.
- Guaranteed Structured Output: Defines a strict JSON schema to ensure extracted data adheres to a consistent format.
- Automatic Error Correction: An integrated auto-fixing parser re-prompts the LLM to correct invalid outputs, ensuring high data quality.
- Flexible Prompting: Easily customize your input prompt to extract various types of information.
- Manual Triggering: Run the workflow on-demand for quick data extraction tasks.
How To Use
- Configure Credentials: Ensure your OpenAI API credentials are correctly set up in the 'OpenAI Chat Model' nodes.
- Define Your Prompt: Edit the 'Prompt' node with the specific natural language query you want the LLM to process.
- Customize Output Schema: Modify the 'Structured Output Parser' node to define the exact JSON structure (properties, types, arrays) you expect from the LLM.
- Adjust LLM Settings: If needed, fine-tune the model parameters (e.g., model type, temperature) in the 'OpenAI Chat Model' nodes.
- Execute Workflow: Click 'Execute Workflow' to run the process and receive your structured, validated data.
Apps Used
Workflow JSON
{
"id": "eb8e8771-1f13-408c-889b-a32bc137c18d",
"name": "Reliable LLM Structured Data Extraction with Auto-Fixing",
"nodes": 8,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: eb8e8771-1f13...
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