Meet LangGraph: An AI Library for Building Stateful, Multi-Actor Applications with LLMs Built on Top of LangChain
Summary:
- A new AI library called LangGraph has been developed to build stateful, multi-actor applications with Long Language Models (LLMs) on top of LangChain.
- LLMs are large and powerful AI models that can understand and generate human-like text.
- LangGraph enables the creation of intelligent systems that can respond to user inputs, remember past interactions, and make decisions based on the history.
- This library allows developers to build applications that behave like intelligent agents, maintaining conversations, and making informed decisions.
- The LangChain infrastructure underlying LangGraph provides the necessary tools and support for building these applications.
Author’s Take:
LangGraph is an AI library that empowers developers to create advanced applications that can understand and generate human-like text. With the help of Long Language Models and the LangChain infrastructure, LangGraph enables the building of stateful, multi-actor applications capable of maintaining conversations and making informed decisions. This advancement brings us closer to creating truly intelligent agents that can engage in meaningful interactions with users.