LangChain Programming for Beginners

LangChain Programming For Beginners will help you harness the power the LangChain framework to 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 LangChain
• Master LangChain features such as chains, agents, and document loader
• Create prompt templates for specific use cases
• Master LCEL, the LangChain Expression Language
• Use Streamlit and LangChain to create AI-powered web applications
• Creating chunks and embeddings using ChromaDB, a vector database
• How to chat with PDF documents using AI
• How to chat with YouTube videos using AI
• How to chat with images using AI
• Integrate 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 programming

The 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 cover:
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