Dive into a comprehensive crash course on LangChain, a framework designed to simplify the creation of applications using large language models. Learn how to connect AI models with various data sources to create customized NLP applications. Explore the basics of LangChain, understand project requirements, and develop two hands-on projects: a Pets Name Generator and a YouTube Assistant. Discover the power of agents within LangChain, create your own vector stores, and gain insights into OpenAI API costs. Access provided resources and code repositories to enhance your learning experience and apply your newfound knowledge to real-world scenarios.
Overview
Syllabus
⌨️ Intro to LangChain
⌨️ Requirements for the projects
⌨️ First Project - Pets Name Generator
⌨️ Agents within LangChain
⌨️ Second Project - YouTube Assistant
⌨️ Creating our own vector stores
⌨️ Conclusion and OpenAI API Costs
Taught by
freeCodeCamp.org
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