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Enterprise RAG: Scaling Retrieval Augmented Generation [9781633435476]

Paperback
SKU: 9781633435476
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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

Price $59.99

Total for 25 copies:

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title will be released on Oct 27, 2026. Pre-order now!

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Overview

Free PDF and epub formats plus online reader with AI assistant.

Retrieval Augmented Generation, or RAG, is the gold standard for using domain-specific data, such as internal documentation or company databases, with large language models (LLMs). Creating trustworthy, stable RAG solutions you can deploy, scale, and maintain at the enterprise level means establishing data workflows that maximize accuracy and efficiency, addressing cost and performance problems, and building in appropriate checks for privacy and security. This book shows you how.

It goes beyond the theory and proof-of-concept examples you find in most books and online discussions, digging into the real issues you encounter deploying and scaling RAG in production. In this book, you’ll build a RAG-based information retrieval app that intelligently assesses data from common business sources, chooses the appropriate context for your LLM, and even writes custom SQL queries as needed.

Inside Enterprise RAG you’ll learn:

 • Build an enterprise-level RAG system that scales to meet demand
 • RAG over SQL databases
 • Fast, accurate searches
 • Prevent AI “hallucinations”
 • Monitor, scale, and maintain RAG systems
 • Cost-effective cloud services for AI

About the book

Enterprise RAG teaches you to build production-ready RAG systems. The guide draws from author Tyler Suard's real-world experience developing effective RAG solutions for Fortune 500 companies. Learn to utilize agent-based retrieval, triage logic, query rewriting, and other cutting-edge strategies for effective RAG. Plus, essential tips and advice ensure you can sidestep RAG’s landmines and handle common problems, from picking the right LLM to handling hallucinations and inaccurate completions.

About the reader

For software developers proficient in Python.

About the author

Tyler Suard is a Senior AI Researcher and Developer at a fortune 500 company.

 

The book, Enterprise RAG: Scaling Retrieval Augmented Generation [Bulk, Wholesale, Quantity] ISBN#9781633435476 in Paperback by Tyler Suard may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Tyler Suard
Format:
Paperback
Publication Date:
10/27/2026
ISBN-10:
1633435474
ISBN-13:
9781633435476
Pages:
225
Publisher:
Manning

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