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Langchain Tutorials

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overview and tutorial of the LangChain Library ![GitHub Repo stars](https://img.shields.io/github/stars/gkamradt/langchain-tutorials?style=social)

FreeFree tier
Type
Open Source
Visit Website GitHub (40 stars)

About Langchain Tutorials

LangChain Tutorials is a comprehensive, open-source collection of Jupyter notebooks and example projects for learning the LangChain library. Maintained by Greg Kamradt, the repository provides a structured learning path through two cookbooks covering 7 core concepts and 9 use cases, supplemented by video tutorials on YouTube. It includes a project gallery with beginner, intermediate, and advanced difficulty levels, covering practical applications such as summarization, question answering over documents, extraction, evaluation, chatbots, and agents. The repository encourages community contributions and is regularly updated to reflect the evolving LangChain ecosystem.

Key Features

LangChain Cookbook Part 1 covering 7 core concepts
LangChain Cookbook Part 2 covering 9 use cases
Accompanying video tutorials on YouTube
Project gallery with beginner, intermediate, and advanced difficulty levels
Examples include summarization, extraction, evaluation, chatbots, agents, and more
Open-source and community-contributed projects
Jupyter notebooks for hands-on learning

Pros & Cons

Pros
  • Free and open-source with no licensing costs
  • Structured learning path with cookbooks and video tutorials
  • Covers a wide range of LangChain applications
  • Active community and contributions make it up-to-date
  • Practical, hands-on Jupyter notebook format
Cons
  • Requires prior knowledge of Python and basic LLM concepts
  • Not a standalone product; users must set up their own environment
  • Some projects may need external API keys (e.g., OpenAI) and incur costs
  • Documentation is primarily GitHub README; no formal docs site

Best For

Learning the LangChain library from basics to advancedBuilding chatbots and conversational agentsImplementing question answering over documentsExtracting structured data from text using LLMsEvaluating question-answering chainsSummarizing research papers or documentsQuerying tabular data with natural language

FAQ

What is LangChain Tutorials?
It is an open-source GitHub repository containing Jupyter notebooks, cookbooks, and example projects that teach users how to use the LangChain library for various LLM-powered applications.
How do I get started with LangChain Tutorials?
The recommended learning path is to start with LangChain CookBook Part 1 (7 Core Concepts) and then Part 2 (9 Use Cases). Both notebooks and video tutorials are available. After that, explore the project gallery by difficulty level.
Is LangChain Tutorials free?
Yes, the repository is completely free and open-source under the GitHub repository. However, some example projects may require API keys for services like OpenAI, which may have their own costs.
What difficulty levels are available?
Projects are labeled as Beginner, Intermediate, or Advanced, with the majority being intermediate. There are also projects from the community.