Langgraph: Learn how to build an AI assistant

Learn how to build an AI assistant using LangGraph to calculate solar panel energy savings, showcasing advanced workflows, tools… LangGraph 's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. LangGraph is an open-source framework built by LangChain that streamlines the creation and management of AI agent workflows. At its core, LangGraph combines large language models (LLMs) with graph-based architectures allowing developers to map, organize and optimize how AI agents interact and make decisions. LangGraph is a Python library that lets you build complex workflows with state graphs, conditional edges, and cycles for LLM applications. Learn how to use LangGraph to create a state graph agent that can parse and respond to emails using OpenAI LLMs.