Large Language Models have revolutionized the realm of Natural Language Processing (NLP) and have opened the doors for numerous applications in the tech world. But integrating and deploying these models to design powerful applications often demands a specialized set of tools and understanding. Enter LangChain: a game-changing framework tailored for the age of expansive language models.We just published a full course on the freeCodeCamp.org YouTube channel that will teach you the basics of Langchain. Rishab Kumar developed this course. He is a DevOps Engineer and a developer evangelist at Twilio.LangChain is a bridge between developers and large language models. Serving as a standard interface for working with various large language models, it encompasses a suite of classes, functions, and tools to make the design of AI-powered applications a breeze. Whether you're constructing prompts, managing chatbot memories, or leveraging agent toolkits, LangChain has got you covered. What makes it stand out is its ability to merge the capabilities of large language models with diverse computational and knowledge sources, enabling more advanced NLP applications.Intro to LangChain:Begin your journey by getting acquainted with the core concepts and capabilities of LangChain. Understand its significance in the contemporary NLP landscape and how it's streamlining the integration of AI models. In this section, you will also learn how to get LangChain working on your computer.First Project - Pets Name Generator:Dabble with your first project and design a quirky pet name generator. This module will provide you with an engaging way to grasp the fundamentals of LangChain while creating something fun and useful.Agents within LangChain:Agents are powerful tools within the LangChain framework. Delve deep into the heart of LangChain's capabilities by understanding and working with these agents, expanding the horizons of what you can create.Second Project - YouTube Assistant:Step up your LangChain game by developing a YouTube Assistant. Witness firsthand how LangChain can interact with popular platforms and offer a seamless user experience.Creating our own Vector Stores:Dive into the intricacies of designing vector stores with LangChain. This segment empowers you to curate customized storage solutions for your projects.Conclusion and OpenAI API Costs:Conclude your learning journey by weighing the costs associated with leveraging the OpenAI API. Get a clearer picture of the financial aspect to better plan your future projects.The world of large language models is expansive, and with tools like LangChain, it's becoming more accessible than ever.Watch the full course on the freeCodeCamp.org YouTube channel (1-hour watch).I'm a teacher and developer with freeCodeCamp.org. I run the freeCodeCamp.org YouTube channel. If you read this far, thank the author to show them you care. Say Thanks Learn to code for free. freeCodeCamp's open source curriculum has helped more than 40,000 people get jobs as developers. Get started freeCodeCamp is a donor-supported tax-exempt 501(c)(3) charity organization (United States Federal Tax Identification Number: 82-0779546)Our mission: to help people learn to code for free. We accomplish this by creating thousands of videos, articles, and interactive coding lessons - all freely available to the public. We also have thousands of freeCodeCamp study groups around the world.Donations to freeCodeCamp go toward our education initiatives, and help pay for servers, services, and staff. You can make a tax-deductible donation here.