Generative AI and RAG for Beginners (Record no. 70911)

MARC details
000 -LEADER
fixed length control field 02217nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20261019160013.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 261019b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9798277349045
028 ## - DISTRIBUTOR NAME
Distributor Name : Savera Book Distributors
Distributor address : 4754 Akarshan Bhawan, 23 Ansari Road, Darya Ganj, New Delhi
Bill Number : 26-27/CRB/756
Bill Date : 19/10/2026
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3 MAZ
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mazzanti, Oscar.
245 ## - TITLE STATEMENT
Title Generative AI and RAG for Beginners
Remainder of title : A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python.
Statement of responsibility, etc / Oscar Mazzanti.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc : Peacockbooks
Date of publication, distribution, etc , 2025.
300 ## - PHYSICAL DESCRIPTION
Extent 254p.
Dimensions : 28cm.
365 ## - TRADE PRICE
Price amount 1740
520 ## - SUMMARY, ETC.
Summary, etc Are you ready to dive into the world of Artificial Intelligence and build your own intelligent applications? Generative AI and RAG for Beginners is the perfect starting point for anyone eager to explore how large language models (LLMs) and Retrieval-Augmented Generation (RAG) work in the real world. This practical, hands-on guide will walk you through the process of creating your very own AI-powered solutions using LangChain and Python.<br/>Whether you're a complete beginner or looking to enhance your existing knowledge, this book breaks down complex concepts into simple, actionable steps. You'll learn how to:<br/>Build powerful AI applications that retrieve accurate information and generate contextually aware responses.<br/>Master LangChain and Python to create efficient workflows, connect databases, and integrate external data sources.<br/>Understand RAG systems and how they enhance the capabilities of traditional language models by incorporating real-world knowledge.<br/>Navigate real-world challenges with expert tips on improving performance, optimizing retrieval pipelines, and handling large datasets.<br/>Create practical AI solutions for industries like business, education, research, and more!<br/><br/>Packed with clear explanations, code examples, and project-based learning, this guide will help you develop a strong foundation in AI development and prepare you for future challenges in machine learning and natural language processing.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element AI and RAG
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element AI
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Building LLM and RAG
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Oscar Mazzanti.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan SNU LIBRARY SNU LIBRARY 19/10/2026 Savera Book Distributors 1740.00   006.3 MAZ 31906 19/10/2026 19/10/2026 Books
© Copyright Shiv Nadar University 2012. All Rights Reserved.  Disclaimer |  Sitemap
The Shiv Nadar University has been established under U.P. Act No 12 of 2011. Shiv Nadar University is UGC Approved.