Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
<h1 align="center"> Generative AI with LangChain, Second Edition</h1> <p align="center">This is the code repository for <a href ="https://www.packtpub.com/en-us/product/generative-ai-with-langchain-second-edition-9781837022014"> Generative AI with LangChain, Second Edition</a>, published by Packt. </p> <h2 align="center"> Build production ready LLM applications and advanced agents using Python and LangGraph </h2> <p align="center"> Ben Auffarth, Leonid Kuligin</p> <p align="center"> <a href="https://discord.gg/YQbX5rsc74" alt="Discord" title="Learn more on the Discord server"><img width="32px" src="https://cliply.co/wp-content/uploads/2021/08/372108630_DISCORD_LOGO_400.gif"/></a>       <a href="https://packt.link/free-ebook/9781837022014"><img width="32px" alt="Free PDF" title="Free PDF" src="https://cdn-icons-png.flaticon.com/512/4726/4726010.png"/></a>       <a href="https://packt.link/gbp/9781837022014"><img width="32px" alt="Graphic Bundle" title="Graphic Bundle" src="https://cdn-icons-png.flaticon.com/512/2659/2659360.png"/></a>       <a href="https://amzn.to/4dErkya"><img width="32px" alt="Amazon" title="Get your copy" src="https://cdn-icons-png.flaticon.com/512/15466/15466027.png"/></a>       </p> <details open> <summary><h2>About the book</summary> <a href="https://www.packtpub.com/en-us/product/generative-ai-with-langchain-9781837022014"> <img src="https://content.packt.com/B32363/cover_image_small.jpg" alt="Generative AI with LangChain, 2nd Edition (2025)" height="256px" align="right"> </a> This second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型