Generative AI Apps with LangChain and Python A Project-Based Approach to Building Real-World LLM Apps (Rabi Jay)（Z-Library）

Generative AI Apps with LangChain and Python A Project-Based Approach to Building Real-World LLM Apps — Rabi Jay

Generative AI Apps with LangChain and Python A Project-Based Approach to Building Real-World LLM Apps Rabi Jay

Generative AI Apps with LangChain and Python: A Project-Based Approach to Building Real-World LLM Apps ISBN-13 (pbk): 979-8-8688-0881-4 ISBN-13 (electronic): 979-8-8688-0882-1 https://doi.org/10.1007/979-8-8688-0882-1 Copyright © 2024 by Rabi Jay This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Managing Director, Apress Media LLC: Welmoed Spahr Acquisitions Editor: Melissa Duffy Development Editor: James Markham Coordinating Editor: Gryffin Winkler Cover designed by eStudioCalamar Cover image by Rawpixel.com on Freepik Distributed to the book trade worldwide by Apress Media, LLC, 1 New York Plaza, New York, NY 10004, U.S.A. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation. For information on translations, please e-mail booktranslations@springernature.com; for reprint, paperback, or audio rights, please e-mail bookpermissions@springernature.com. Apress titles may be purchased in bulk for academic, corporate, or promotional use. eBook versions and licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales web page at http://www.apress.com/bulk-sales. Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub (https://github.com/Apress). For more detailed information, please visit https://www.apress.com/gp/services/source-code. If disposing of this product, please recycle the paper Rabi Jay Pennington, NJ, USA

xvii About the Author Rabi Jay has over 15 years of experience driving digital transformation with a unique ‘‘acumen. His background as a Java and SAP ABAP developer provides insights into the enterprise systems LLMs often needed to integrate with. As a leader in Deloitte’s Dig’ital/Cloud Native practice, he has gained cross-industry experience applying AI solutions, positioning him to identify where LLMs offer the greatest potential for business impact. He is passionate about making complex technology accessible, leading him to authoring the books SAP NetWeaver Portal Technology and Enterprise AI in the Cloud along with regular contributions to industry publications. His role as a technical reviewer for Large Language Model–Based Solutions and as Vice President at HCL America, focused on digital transformation, demonstrates his active engagement in the LLM field. Additionally, he runs a LinkedIn newsletter ("Enterprise AI Transformation") and free LinkedIn course (“Generative AI for Business Innovation”).

xix Murali Krishnan is a hands-on software leader and startup founder with a passion for building efficient and revenue-generating businesses. He has 20+ years of experience at Microsoft (B2B, B2C) followed by an executive stint at Starbucks (B2C). As a cofounder, Murali led fundraising, product, customer success, marketing, and sales effort at RapL, a mobile-first and AI-driven adaptive microlearning platform. With 30+ US patents, he has a proven ability to innovate in cutting-edge tech (cloud, AI/ML, mobile, big data). Murali also mentors, assists, and advises startup founders. He lives in Seattle with his family. He enjoys running, biking, reading, and cooking. Shivakumar Gopalakrishnan has over 25 years of experience in software development, DevOps, SRE, and platform engineering. He has worked in various industries, from healthcare enterprises to consumer-facing web-scale companies. He founded a startup, was a key architect within a Fortune 1000 company, and is currently a Principal Architect at BD. He is a coauthor of Hands-on Kubernetes on Azure and the author of Kubernetes for Job Seekers and Modern Python Programming using ChatGPT. About the Technical Reviewers

xx Keerthi Bharath is an accomplished thought leader in the AI industry. He has experience running numerous startups and leading AI projects in MNCs. He is also an investor and mentor to companies. He is an alumnus of Syracuse University, New York, and College of Engineering, Guindy, Chennai. abouT The TeChniCal RevieweRs

1© Rabi Jay 2024 R. Jay, Generative AI Apps with LangChain and Python, https://doi.org/10.1007/979-8-8688-0882-1_1 CHAPTER 1 Introduction to LangChain and LLMs Welcome to the world of LangChain and LLMs, where you will learn how to build generative AI applications using one of the most popular generative AI application development frameworks, namely, LangChain. You will learn how to tap into the vast knowledge of these highly capable large language models, or LLMs, as we often call them. Together, we are going to explore how powerful LLMs like GPT-4, PaLM, and Gemini can be accessed with LangChain to develop some amazing, intelligent, and real-world applications that feel almost human-like. The power of LangChain lies in its ability to make the power of large language models (LLMs) easily accessible to us to build real-world applications. Whether you are a veteran coder or just starting out, you are going to find LangChain refreshingly easy to use. It is that ease of coding that got me hooked onto LangChain. I hope you will be attracted to it as well once you start discovering how easy it is, as you start learning from practical examples throughout the book. The beauty of it is that you don’t even need to be a machine learning guru or data science expert to leverage its capabilities.