Workshop Wednesday - Let's Continue Learning LangChain!

Welcome!

In case you missed it, here's a link to the recording of part 1 of this series. If you are new to LangChain, I suggest taking a quick peek.

If you haven't heard, LangChain is taking the world of Large Language Models by storm. In this follow-up session, hosted by Justin Grammens we will continue the overview of the LangChain ecosystem with examples using various components and features. In future sessions we'll go deeper into the power and flexibility of LangChain and why as a technical leader you'll understand the value of bringing it into your organization.

Here's the source code that we'll be covering
https://github.com/justingrammens/LetsLearnLangChain

Background:

LangChain can be used to build a wide variety of AI applications, including chatbots, personal assistants, creative content generators, data analysis tools, and task automation tools. If you haven't used it before, get ready to revolutionize your AI toolbox! In this first of a series I plan to offer, we'll dive into the magic of creating sophisticated conversational agents by exploring the main components of LangChain: Functions, Expressions Language, Tagging, Extraction, and Routing. Using these components the output of this talk will culminate in not only the creation of a conversational agent but an agent in which you will fully understand the interworkings and come away with the knowledge of how LangChain works and why it should be a critical piece of your future AI projects.