Sebhastian N. LangChainJS For Beginners. A Beginner's Guide to AI App...2024

Download this torrent!

Sebhastian N. LangChainJS For Beginners. A Beginner's Guide to AI App...2024

Category: Other
Total size: 9.02 MB
Added: 2025-03-10 23:38:54

Share ratio: 5 seeders, 2 leechers
Info Hash: 8F0075345A2957E475DACFED8B5E636E7F593A18
Last updated: 6.7 hours ago

Textbook in PDF format LangChain supports both Python and JavaScript. This book focuses on the JavaScript 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 JavaScript 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 JavaScript. 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 JavaScript. JavaScript 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 JavaScript and Langchain. You will see how LangChain can integrate into JavaScript web framework like Next.js seamlessly. Requirements: To experience the full benefit of this book, basic knowledge of JavaScript 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