LangGraph
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What is LangGraph?
LangGraph is a Python library designed to help developers create robust and stateful conversational AI applications, often referred to as AI Agents. It allows you to structure complex agent workflows by defining states (data held throughout the conversation) and edges (transitions between states based on agent decisions or external events), creating a graph-like representation of the agent's reasoning process. This makes it easier to manage the flow of conversations and build more reliable and explainable AI agents.
Free resources to learn LangGraph
- Official docsLangGraph Docs
- Open sourcelanggraph
- ArticleLangGraph 101: Let’s Build A Deep Research Agent
- VideoLangChain vs LangGraph: A Tale of Two Frameworks
More in stage 30: Prompt Injection / Jailbreaks
LangGraph: common questions
Can I learn LangGraph in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain LangGraph in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this LangGraph tutorial for beginners?
It is lesson 86 of 101 in the free AI Agents roadmap, in stage 30, Prompt Injection / Jailbreaks. If you are new to AI Agents, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.