Langchain1.0-Langgraph1.0-Learning and langchain-in-action

These are **complements** — A provides structured learning of LangChain/LangGraph fundamentals and agent development patterns, while B offers practical real-world implementation examples and patterns that build upon those foundational concepts.

Maintenance 10/25
Adoption 10/25
Maturity 13/25
Community 22/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 220
Forks: 52
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Commits (30d): 0
Language: Python
License: MIT
Stars: 743
Forks: 251
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
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About Langchain1.0-Langgraph1.0-Learning

BrandPeng/Langchain1.0-Langgraph1.0-Learning

这是一个 LangChain 1.0 和 LangGraph 1.0 的学习仓库,学习如何进行agent开发,涵盖从基础概念到实战项目的完整学习路径。

About langchain-in-action

huangjia2019/langchain-in-action

Practical LangChain patterns and implementations for real-world LLM applications. 极客时间:LangChain实战课 - 这是LangChain框架早期设计的一系列重点模块的直接而清晰的示例和讲解。随着LangChain的快速演进,有些代码需要安装新的版本进行迭代。希望大家在快速浏览课程概念(仍有价值)的同时,自行学习LangChain最新的代码和进展。

Covers core LangChain modules including chains, agents, memory systems, and retrieval-augmented generation (RAG) patterns with practical code examples. Demonstrates integration with multiple LLM providers (OpenAI, Anthropic) and vector databases for semantic search. Built as companion material to a structured course, enabling hands-on learning of prompt engineering, conversation state management, and agentic workflows.

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