LangChain Programming for Beginners A Step-By-Step Guide to AI Application Development With LangChain, Python

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Free Download LangChain Programming for Beginners: A Step-By-Step Guide to AI Application Development With LangChain, Python, OpenAI/ChatGPT, Google/Gemini and Other LLMs (Code With Nathan)
English | 2024 | ASIN: B0D6MQ2H76 | 172 pages | PDF | 7.40 MB
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 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
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.

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