LangFlow

LangFlow for LangChain is a user-friendly graphical interface created to facilitate the testing & developing of applications and command sequences on LangChain.

Cobus Greyling
3 min readMay 10, 2023

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Introduction

This article serves as a comprehensive resource which brings together all the research I have conducted on ⛓️LangFlow, a native LLM Graphic Development Interface based on 🦜🔗LangChain.

With LangFlow, users can easily experiment and prototype LLM Apps and Prompt Chaining.

Getting Started

The video below is a short demonstration of a simple LangFlow application.

To create a LLM Chaining application, three components must be added to the design canvas:

  1. Prompt Template,
  2. OpenAI Connector, and
  3. LLMChain.

Once these components have been added, the application can be built and users can chat via the Conversational UI.

If you have any prior experience with LangChain, such as Chains, Agents, and Prompt Engineering, LangFlow’s native LLM Graphic Development Interface will be quite easy to understand.

To get step-by-step instructions on constructing the demo application seen in the video, please refer to the following articles:

These type of applications are referred to as Gen Apps, Generative Apps, Prompt Chaining or LLM Apps.

Building Agents With LangFlow

LangChain Agents are autonomous agents that are equipped with a suite of tools to respond to any request within their scope.

Through LangFlow, users can create agents with a graphical user interface and then the agents will go through the pipeline of taking an action, observing, and eventually reaching a Final Answer.

The agents are autonomous, meaning they are able to move through the problem independently and without a predetermined path.

This video provides a comprehensive guide on how to construct and demonstrate an agent in LangFlow. It takes viewers step by step through the process, showing how to build the agent and use it to complete a task.

Read more about Agents and Agent Networks.

Agents can effectively handle ambiguous questions and multihop instructions, decomposing them into a chain-of-thought processes that can be carried out in an automated fashion.

⭐️ Please follow me on LinkedIn for updates on Conversational AI ⭐️

I’m currently the Chief Evangelist @ HumanFirst. I explore and write about all things at the intersection of AI and language; ranging from LLMs, Chatbots, Voicebots, Development Frameworks, Data-Centric latent spaces and more.

https://www.linkedin.com/in/cobusgreyling
https://www.linkedin.com/in/cobusgreyling

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Cobus Greyling
Cobus Greyling

Written by Cobus Greyling

I’m passionate about exploring the intersection of AI & language. www.cobusgreyling.com

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