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.
743 stars. No commits in the last 6 months.
Stars
743
Forks
251
Language
Python
License
—
Category
Last pushed
Jun 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/huangjia2019/langchain-in-action"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tryAGI/LangChain
C# implementation of LangChain. We try to be as close to the original as possible in terms of...
UiPath/uipath-langchain-python
Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform
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。
msoedov/langcorn
⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops
sardanaaman/langgraph-compass
Intelligent follow-up question generation for conversational LangGraph agents