Mastering PostgreSQL 18.3 for AI Applications and Vector Databases: Building Embedding Pipelines, Semantic Search Engines, and Scalable Intelligent Data Systems

Author:   William D Brock
Publisher:   Independently Published
Volume:   1
ISBN:  

9798251437911


Pages:   192
Publication Date:   09 March 2026
Format:   Paperback
Availability:   Available To Order   Availability explained
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Mastering PostgreSQL 18.3 for AI Applications and Vector Databases: Building Embedding Pipelines, Semantic Search Engines, and Scalable Intelligent Data Systems


Overview

What if your database could do more than simply store information? What if it could actively power intelligent systems, understand relationships between data, and support the kind of advanced search experiences modern applications demand? Mastering PostgreSQL 18.3 for AI Applications and Vector Databases explores how a modern relational database can become the backbone of intelligent software systems. If you are a developer, data engineer, or technology enthusiast looking to build smarter applications, this book walks you through the practical concepts and techniques needed to move from traditional data storage to AI-ready data infrastructure. Have you ever wondered how recommendation engines understand similarity between items? Or how modern search systems retrieve meaning instead of just matching keywords? Inside this guide, you will discover how embedding pipelines transform raw information into numerical representations that machines can analyze efficiently. You will learn how vector-based storage enables similarity search, allowing applications to find patterns, relationships, and meaning across large datasets. Rather than focusing only on theory, the book takes a practical approach. It explains how to design efficient data structures, manage large-scale vector data, and build semantic search systems capable of handling real-world workloads. Along the way, it also explores strategies for building scalable data pipelines, optimizing performance, and maintaining reliability in intelligent data platforms. You may already know how to work with databases. But are you ready to extend those skills into the world of modern AI-driven systems? This book bridges that gap by showing how traditional database strengths such as reliability, indexing, and structured querying can be combined with vector-based techniques used in machine learning and intelligent applications. By the end of this journey, you will have a clear understanding of how to design scalable data architectures that support advanced search, recommendation systems, and AI-powered analytics. More importantly, you will gain the confidence to build systems that move beyond simple data storage and into the realm of intelligent data processing. If you have ever asked yourself how modern applications deliver faster, smarter, and more meaningful search experiences, this book will help you uncover the answers.

Full Product Details

Author:   William D Brock
Publisher:   Independently Published
Imprint:   Independently Published
Volume:   1
Dimensions:   Width: 21.60cm , Height: 1.00cm , Length: 27.90cm
Weight:   0.458kg
ISBN:  

9798251437911


Pages:   192
Publication Date:   09 March 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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