What do you think?
Rate this book
LangChain Programming for Beginners: A Step-By-Step Guide to AI Application Development With LangChain, Python, OpenAI/ChatGPT, Google/Gemini and Other LLMs
LangChain Programming For Beginners will help you harness the power of LangChain framework and build AI-powered applications quickly.
Save your time and learn up to 3X faster with a structured learning resource that’s carefully crafted for beginners.
In this book, I'll be using a step-by-step, practical approach so that you can develop cutting-edge LLM solutions for a diverse range of areas.
The projects included in this book that will help you experience how to integrate OpenAI's ChatGPT and Google's Gemini AI into LangChain.
What You'll Learn
Understand the benefits of using LangChainMaster LangChain features such as chains, agents, and document loaderCreate prompt templates for specific use casesMaster LCEL, the LangChain Expression LanguageUse Streamlit and LangChain to create AI-powered web applicationsCreating chunks and embeddings using ChromaDB, a vector databaseHow to chat with PDF documents using AIHow to chat with YouTube videos using AIHow to chat with images using AIIntegrate open-source LLMs into LangChain
Who is this for?
Software Engineers and Developers wanting to learn how to build Generative AI applications with LangChain.Python beginners wanting to explore LangChain and LLM programmingThe book is designed to be easy to understand and accessible to anyone looking to learn LangChain. It provides a step-by-step practical guide that will help you understand how to use LangChain to develop AI-powered applications.
Plus, I take extra time to make sure my book is engaging and fun so you will stay motivated.
Book Content
In the contents of this book, we will
Chapter 1: Introduction to LangChain
Chapter 2: Your First LangChain Application (With Google Gemini)
Chapter 3: Using OpenAI LLM in LangChain
Chapter 4: Integrating Ollama With LangChain
Chapter 5: Adding Streamlit for Web GUI
Chapter 6: Creating Prompt Templates
Chapter 7: The LangChain Expression Language (LCEL)
Chapter 8: Regular Sequential Chains
Chapter 9: Creating ChatGPT Clone (Adding Chat History and Chat Input)
Chapter 10: AI Agents and Tools
Chapter 11: Interacting With Documents in LangChain
Chapter 12: Uploading Different Document Types
Chapter 13: Chat With YouTube Videos
Chapter 14: Interacting With Images Using Multimodal Messages
Chapter 15: Deploying AI Application to Production
We focus only on the essentials and apply what we've learned by building simple projects using Python and Langchain.
You will see how LangChain makes creating AI applications super fun and easy.
Requirements
To experience the full benefit of this book, basic knowledge of Python is required.
If you need some help in learning Python, you can get my book Beginning Python at
Accelerate Your Coding Journey
Stop wasting your precious time trying to connect incomplete tutorials from different sources.
Instead, use this book and gain the LangChain knowledge you need to excel today.
I promise you You will know how to develop AI applications using LangChain with confidence.
Save your time and learn up to 3X faster with a structured learning resource that’s carefully crafted for beginners.
In this book, I'll be using a step-by-step, practical approach so that you can develop cutting-edge LLM solutions for a diverse range of areas.
The projects included in this book that will help you experience how to integrate OpenAI's ChatGPT and Google's Gemini AI into LangChain.
What You'll Learn
Understand the benefits of using LangChainMaster LangChain features such as chains, agents, and document loaderCreate prompt templates for specific use casesMaster LCEL, the LangChain Expression LanguageUse Streamlit and LangChain to create AI-powered web applicationsCreating chunks and embeddings using ChromaDB, a vector databaseHow to chat with PDF documents using AIHow to chat with YouTube videos using AIHow to chat with images using AIIntegrate open-source LLMs into LangChain
Who is this for?
Software Engineers and Developers wanting to learn how to build Generative AI applications with LangChain.Python beginners wanting to explore LangChain and LLM programmingThe book is designed to be easy to understand and accessible to anyone looking to learn LangChain. It provides a step-by-step practical guide that will help you understand how to use LangChain to develop AI-powered applications.
Plus, I take extra time to make sure my book is engaging and fun so you will stay motivated.
Book Content
In the contents of this book, we will
Chapter 1: Introduction to LangChain
Chapter 2: Your First LangChain Application (With Google Gemini)
Chapter 3: Using OpenAI LLM in LangChain
Chapter 4: Integrating Ollama With LangChain
Chapter 5: Adding Streamlit for Web GUI
Chapter 6: Creating Prompt Templates
Chapter 7: The LangChain Expression Language (LCEL)
Chapter 8: Regular Sequential Chains
Chapter 9: Creating ChatGPT Clone (Adding Chat History and Chat Input)
Chapter 10: AI Agents and Tools
Chapter 11: Interacting With Documents in LangChain
Chapter 12: Uploading Different Document Types
Chapter 13: Chat With YouTube Videos
Chapter 14: Interacting With Images Using Multimodal Messages
Chapter 15: Deploying AI Application to Production
We focus only on the essentials and apply what we've learned by building simple projects using Python and Langchain.
You will see how LangChain makes creating AI applications super fun and easy.
Requirements
To experience the full benefit of this book, basic knowledge of Python is required.
If you need some help in learning Python, you can get my book Beginning Python at
Accelerate Your Coding Journey
Stop wasting your precious time trying to connect incomplete tutorials from different sources.
Instead, use this book and gain the LangChain knowledge you need to excel today.
I promise you You will know how to develop AI applications using LangChain with confidence.
172 pages, Kindle Edition
Published June 9, 2024
18 people are currently reading
6 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
September 8, 2025
Sweet book, short and to the point. It has some really productive examples of using Langchain which i did not got from Oreailly book (Learning Langchain) , tbh i feel that this manual is better way to start with Langchain for creating multi-step software that uses LLMs underlying tools.
Displaying 1 of 1 review