This chapter covers
- Introducing Langflow
- Creating a LangChain project using Langflow
- Using and configuring the various components of Langflow
- Using Langflow to query your own data
Previously, you learned how to build applications based on large language models (LLMs) by chaining various components, such as prompt template and memory. You also learned how to use LlamaIndex to connect an LLM to answer questions pertaining to your own data. To use LangChain, you must download the langchain package and then use the various APIs in the framework.
In this chapter, you’ll learn an easy approach to building LLM-based applications using LangChain. Instead of writing code, you’ll build LangChain apps using a drag-and-drop tool known as Langflow. This tool enables you to get started with LangChain without being bogged down in the details of coding and to preview your applications instantly without complicated setup.
8.1 What is Langflow?
Langflow is an open source library that allows you to build LLM-based applications using LangChain through a drag-and-drop visual interface. Langflow is built on top of LangChain, so you can develop AI applications faster and easier through a no-code/low-code experience.