Название: LangChainJS For Beginners: A Beginner's Guide to AI Application Development With LangChain, jаvascript, OpenAI/ChatGPT, Google/Gemini and Other LLMs
Автор: Nathan Sebhastian
Издательство: Independently published
Год: 2024
Страниц: 189
Язык: английский
Формат: epub
Размер: 10.1 MB

LangChain supports both Python and jаvascript. This book focuses on the jаvascript version of LangChain.

Save your time and learn up to 3X faster with a structured learning system that’s carefully crafted for beginners. LangChainJS For Beginners will help you harness the power of LangChain and jаvascript to develop AI-powered applications. In this book, I'll be using a step-by-step, practical approach so that you can build cutting-edge AI solutions using LangChain and jаvascript. By the end of the book, you will understand how to build a Next.js web application that harnesses the power of LLMs such as OpenAI's GPT and Google's Gemini.

A Large Language Model (LLM for short) is a Machine Learning model that can understand and generate an output that humans can understand. LLMs are usually trained on a vast amount of text data available on the internet so that they can perform a wide range of language-related tasks such as translation, summarization, question answering, and creative writing. Examples of LLMs include GPT-4 by OpenAI, Gemini by Google, Llama by Meta, and Mistral by Mistral. Some LLMs are closed-source, like GPT and Gemini, while some are open-source such as Llama and Mistral.

LangChain is an open-source framework designed to simplify the process of developing a LLM-powered application. LangChain enables you to integrate and call LLM which powers generative AI applications by simply calling the class that represents the model. Under the hood, LangChain will perform the steps required to interact with the language model API and manage the processing of input and output so that you can access different LLMs with minimal code change. What’s more, you can also use external data sources such as a PDF, a Wikipedia article, or a search engine result with LangChain to produce a contextually relevant response. By using LangChain, you can develop specialized generative AI applications that are optimized for certain use cases, such as summarizing a YouTube video, extracting insights from a PDF, or writing an essay.

What You'll Learn:

Understand the benefits of using LangChain.js
Master LangChain features such as chains, agents, and document loader
Integrate open-source LLMs into LangChain
Create prompt templates for specific use cases
Master LCEL, the LangChain Expression Language
Creating chunks and embeddings using a vector database
How to chat with PDF documents using AI
How to chat with YouTube videos using AI
How to send multimodal messages to AI
Use Next.js and LangChain to create AI-powered web applications
Deploying AI-powered web application to production

Who is this for?

Software Engineers and Developers wanting to learn how to build Generative AI applications with LangChain and jаvascript.
jаvascript 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 Generative AI Applications Chapter 2: Your First LangChain Application (With Google Gemini)
Chapter 3: Using OpenAI LLM in LangChain
Chapter 4: Using Open-Source LLMs in LangChain
Chapter 5: Enabling User Input With Prompts
Chapter 6: LangChain Prompt Templates
Chapter 7: The LangChain Expression Language (LCEL)
Chapter 8: Regular Sequential Chains
Chapter 9: Implementing Chat History in LangChain 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: Developing AI-powered Next.js Application
Chapter 16: Deploying Next.js AI Application to Production

We focus only on the essentials and apply what we've learned by building simple projects using jаvascript and Langchain. You will see how LangChain can integrate into jаvascript web framework like Next.js seamlessly.

Requirements:
To experience the full benefit of this book, basic knowledge of jаvascript and Next.js is required.

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 this: You will know how to integrate and develop AI-powered web apps with Next.js and LangChain.








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