Introducing LangFlow: a GUI for LangChain
Embed LLMs into your applications with no code
LangChain is a Python library that makes it easier to combine the power of LLMs with the logic of an application. LangChain allows users to create and compose modular components, such as prompt serializers, agents, and chains, to achieve various natural language tasks. However, designing and testing LangChain flows can be challenging without a user-friendly interface.
That’s where LangFlow comes in. LangFlow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box. LangFlow lets you explore different LLMs, prompt parameters, chain configurations, and agent behaviors, and track the thought process of your agents. You can also export your flow as a JSON file to use with LangChain.
In this article, we will show you how to use LangFlow to create your own conversational agents with LangChain.
Installing LangFlow
As described in the GitHub repository, you can install it via pip install langflow, with the following prerequisites:
- First, install visual C++ build tools from this link — https://visualstudio.microsoft.com/visual-cpp-build-tools/
