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Custom LangChain agent written in JavaScript

Integrations
AI Agent
LangChain Code
OpenAI Chat Model
OpenAI Model
Edit Fields (Set)
Manual Trigger

This workflow offers multiple functionalities and begins with a manual trigger, "When clicking 'Execute Workflow'," activating two distinct paths.

In the first path, a preset string "Tell me a joke" is processed through a custom Language Learning Model (LLM) chain node, which interacts with an OpenAI node to generate a response.

The second path processes another preset string "What year was Einstein born?" and sends it to an "Agent" node. This agent interacts with both a Chat OpenAI node and a custom Wikipedia node to retrieve the information.

This workflow combines built-in and custom nodes and integrates with OpenAI for both paths, making it ideal for experimenting with language models, especially in conversational agents and information retrieval contexts.

Please note: To use this template, ensure you are on rantir version 1.19.4 or later.

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