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Integrate LangChain LangChain Code in your LLM apps and 422+ apps and services

Use LangChain Code to easily build AI-powered applications with LangChain and integrate them with 422+ apps and services. n8n lets you seamlessly import data from files, websites, or databases into your LLM-powered application and create automated scenarios.

Popular ways to use LangChain Code integration

OpenAI Chat Model node
OpenAI Model node

Custom LangChain agent written in JavaScript

This workflow has multiple functionalities. It starts with a manual trigger, "When clicking 'Execute Workflow'", that activates two separate paths. The first path takes a preset string "Tell me a joke" and processes it through a custom Language Learning Model (LLM) chain node. This node interacts with an OpenAI node for query processing. The second path takes another preset string "What year was Einstein born?" and passes it to an "Agent" node. This agent further interacts with a Chat OpenAI node and a custom Wikipedia node to produce the required information. The workflow uses both built-in and custom nodes, and integrates with OpenAI for both paths. It's built for experimenting with language models, specifically in the context of conversational agents and information retrieval. Note that to use this template, you need to be on n8n version 1.19.4 or later.
n8n-team
n8n Team
OpenAI Chat Model node

Use any LangChain module in n8n (with the LangChain code node)

LangChain is a framework for building AI functionality that users large language models. By leveraging the functionality of LangChain, you can write even more powerful workflows. This workflow shows how you can write LangChain code within n8n, including importing LangChain modules. The workflow itself produces a summary of a YouTube video, when given the video's ID. Note that to use this template, you need to be on n8n version 1.19.4 or later.
davidn8n
David Roberts

About LangChain Code

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