AI/LangChain Output Parser 4
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Parses and structures LLM output using various LangChain components.
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About This Workflow
Overview
This workflow demonstrates how to use LangChain's output parsing capabilities within n8n to structure and validate responses from Large Language Models (LLMs). It showcases different parsing strategies, including structured output, auto-fixing, and error handling.
Key Features
- Uses a manual trigger to start the workflow.
- Defines a clear prompt for the LLM.
- Integrates with OpenAI Chat Models for LLM interaction.
- Implements structured output parsing with JSON schema validation.
- Utilizes an auto-fixing output parser to correct invalid LLM responses.
- Includes error handling mechanisms to manage unexpected outputs.
How To Use
- Execute the workflow by clicking the "Execute Workflow" button.
- Ensure your OpenAI API credentials are correctly configured.
- Observe the output of the parsing nodes to see the structured and validated LLM responses.
Apps Used
Workflow JSON
{
"id": "b61bdc71-8a49-4239-a054-6fe9d09e1c87",
"name": "AI/LangChain Output Parser 4",
"nodes": 0,
"category": "AI & Machine Learning",
"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: b61bdc71-8a49...
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