LangChain Example: Code Node Usage
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Demonstrates using n8n code nodes with LangChain for LLM interactions.
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About This Workflow
Overview
This workflow showcases how to leverage n8n's code nodes to integrate with LangChain, a framework for developing applications powered by large language models. It illustrates creating custom LLM tools and chains directly within n8n.
Key Features
- Utilizes LangChain's
WikipediaQueryRuntool within an n8n code node. - Demonstrates creating a custom LLM chain using
PromptTemplateand an AI language model connection. - Includes a manual trigger for easy execution.
- Features AI chat node and an agent node for advanced LLM interactions.
- Incorporates sticky notes for explanatory context.
How To Use
- Install LangChain Dependencies: Ensure you have the necessary LangChain packages installed in your n8n environment (
langchain). - Configure OpenAI Credentials: Set up your OpenAI API key in n8n credentials.
- Execute Workflow: Click the "Execute Workflow" button to start the automation.
- Observe Outputs: The workflow will execute the code nodes, interact with LangChain, and provide outputs from the LLM and tools.
Apps Used
Workflow JSON
{
"id": "14378a89-1f6c-4cbb-a928-a59583d72970",
"name": "LangChain Example: Code Node Usage",
"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: 14378a89-1f6c...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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