LangChain-OpenTutorial and LangChain_Tutorials
These are complementary educational resources that serve different audiences—one offers comprehensive, actively maintained tutorials for LangChain fundamentals across multiple topics, while the other provides a smaller, specialized collection of Python notebooks for learning specific LangChain library patterns.
About LangChain-OpenTutorial
LangChain-OpenTutorial/LangChain-OpenTutorial
LangChain, LangGraph Open Tutorial for everyone!
This tutorial helps developers learn how to build applications using LangChain and LangGraph. It starts with an overview of these frameworks and provides practical examples, covering new features and real-world applications. The tutorial takes conceptual knowledge and turns it into executable code for building large language model (LLM) powered tools.
About LangChain_Tutorials
krisograbek/LangChain_Tutorials
A collection of Python notebooks with tutorials for the LangChain Library.
This collection of Python notebooks helps developers learn how to build applications that process and analyze text using the LangChain library. It takes in various forms of text data, like YouTube video transcripts or podcast audio, and helps you create tools that can answer questions or generate content from them. This is for software developers and data scientists who want to integrate natural language processing capabilities into their projects.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work