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。

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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.

743 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents
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Maturity 8 / 25
Community 25 / 25

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Jun 10, 2024

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