emarco177/langgraph-course
Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.
This repository is a hands-on guide for developers looking to build sophisticated AI agents. It provides practical code examples for creating applications that can understand queries, search for information, and refine their responses, similar to advanced chatbots or automated research assistants. Developers would use this to learn how to combine large language models with external tools and self-correction mechanisms to create more robust AI solutions.
497 stars.
Use this if you are a developer looking for practical code examples and a structured learning path to build production-grade AI agents with features like self-correction, adaptive routing, and web search capabilities.
Not ideal if you are a non-technical user looking for a ready-to-use AI application, as this project is a developer's course and toolkit.
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497
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Apache-2.0
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Last pushed
Mar 02, 2026
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