mzarnecki/course_llm_agent_apps_with_langchain_and_langgraph

AI apps development in LangChain & LangGraph - tutorial notebooks

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This project provides a series of tutorial notebooks designed to help developers build AI applications using LangChain and LangGraph. It walks you through fundamental concepts like model parameters, prompt engineering, and agent creation. By following these notebooks, you will learn to construct various LLM-powered applications, from simple 'Hello World' examples to complex RAG chains and ReAct agents.

Use this if you are a Python developer who wants to learn how to build sophisticated LLM applications and agents using the LangChain and LangGraph frameworks.

Not ideal if you are looking for a ready-to-use application or if you are not comfortable with Python development and setting up a virtual environment.

AI development LLM applications Agent orchestration Prompt engineering Natural Language Processing
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 15 / 25
Community 8 / 25

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Last pushed

Jan 24, 2026

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