LangChain Crash Course: Build OpenAI LLM powered Apps: Fast track to building OpenAI LLM powered Apps using Python

by Greg Lim

In this short course, we take you on a fun, hands-on and pragmatic journey to learn how to build LLM powered apps using LangChain. You'll start building your first Generative AI app within minutes. Every section is recorded in a bite-sized manner and straight to the point as I don’t want to waste your time (and most certainly mine) on the content you don't need.

In this course, we will

What is LangChain

How does LangChain Work

Installation, Setup and Our First LangChain App

Building a Medium Article Generator App

Connecting to OpenAI LLM

Prompt Templates

Simple Chains

Sequential Chains

Agents

Chat with a Document

Adding Memory (Chat History)

Outputting the Chat History

Uploading Custom Documents

Loading Different Document Types (eg PDF, txt, docs)

Chat with Youtube and more...

The goal of this course is to teach you LangChain development in a manageable way without overwhelming you. We focus only on the essentials and cover the material in a hands-on practice manner for you to code along.

Working Through This Course

This course is purposely broken down into short sections where the development process of each section will center on different essential topics. The course a practical hands on approach to learning through practice. You learn best when you code along with the examples.

87 pages, Kindle Edition

Published September 5, 2023

Reviews

[Olha]

This is a book on the LangChain... hmm... "technology"? "framework"?
Anyway, I got a slight understanding of what a Langchain is, and how to use a Python API for writing Langchain apps.

While I love Python, and Streamlit lib gives a beautiful UI in just 2-3 lines of code, I got tired of following those python indentation, as copying the code from Kindle for Mac was not very pleasant.
Found a Swift langchain repo, it's much less mature than Python libs. For the Chroma lib for storing embeddings, looks like Swift doesn't have a one yet.

This book gives almost no insights into specific langchain concepts, but showcases a lot of usecases, of which I didn't think before.

So looks like it was quite a gentle introduction.

[Jordil2 · Rating 3 out of 5]

Un 2.7. Está bien como introducción pero es poco más que código comentado implementado 3 o 4 ejemplos sencillos. El contenido es interesante si fuera una página web, pero no un libro. El código está repetido múltiples veces. El autor comenta que usará hugging face, pero no lo hace. Sólo hay ejemplos de uso de openai.

[samrat saha · Rating 5 out of 5]

quick and effective I like this introduction

A great book to start with llm and langchain - quick and effective. Clear explanations of codes were used. I would recommend for llm and langchain beginners

[Wunan Li · Rating 5 out of 5]

super easy

very easy to follow. Although some of the script are out of date, most of them still works and you can tweak a few here and there.

[Manivannan Palanichamy · Rating 4 out of 5]

Quick and easy. Done reading it in a day. Well Organized!

[Arnold · Rating 5 out of 5]

I found this book answered a lot of questions for me on how AI and LLM apps work. By building simple practical apps like chatting with a document using the Langchain framework and getting assistance on writing articles, one learns the features of the framework quickly!