langchain-notes and LangChain-Tutior

langchain-notes
52
Established
LangChain-Tutior
43
Emerging
Maintenance 13/25
Adoption 6/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 17/25
Stars: 18
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 177
Forks: 25
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About langchain-notes

ravsau/langchain-notes

notes on langchain

This project contains notes and examples for using LangChain, a framework designed to build applications with large language models. It helps developers understand how to chain together different components like prompt templates, models, and agents to create more complex AI workflows. Software developers and AI engineers who are building AI-powered applications would use this resource.

AI-development language-model-integration software-engineering application-development

About LangChain-Tutior

ConnectAI-E/LangChain-Tutior

⛓ LangChain 入门指南,配套吴恩达老师deeplearning.ai课程 😎复现语言:Python、NodeJs、Golang

This project provides practical code examples and guides for building applications with large language models using LangChain. It takes the concepts from Andrew Ng's deeplearning.ai course on LangChain and translates them into runnable code. Developers who want to integrate AI capabilities into their software using Python, Node.js, or Go can use this to learn how to structure and implement such applications.

AI application development Large Language Models (LLM) AI integration software engineering AI programming

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