Vector Databases: Foundations of High-Dimensional Search.: The Architecture, Algorithms, and Applications Behind Modern AI Retrieval Systems.

By: Hayes, Jordan M.

Vector Databases: Foundations of High-Dimensional Search is your definitive guide to understanding and engineering the next generation of intelligent data systems.

As artificial intelligence reshapes how we interact with data, vector databases have emerged as the backbone of semantic search, recommendation engines, and generative AI applications. This book provides a clear, rigorous, and comprehensive exploration of how these systems work-from the theory of vector spaces and similarity metrics to the practical engineering that powers scalable, high-performance retrieval.

Written for data engineers, AI practitioners, and system architects, the book bridges foundational theory with real-world implementation. You'll uncover how embeddings transform unstructured data into searchable numerical representations, how Approximate Nearest Neighbor (ANN) algorithms enable efficient high-dimensional search, and how distributed architectures deliver enterprise-grade performance and reliability.

Through fifteen meticulously structured chapters, Jordan M. Hayes offers a deep dive into indexing strategies, query optimization, scaling across clusters, and secure, compliant data management. Advanced sections explore hybrid search models, multimodal integration, and the convergence of graph and vector paradigms-positioning readers at the cutting edge of intelligent information retrieval.

Whether you are building AI-powered applications, designing scalable data systems, or simply seeking to understand the architecture behind modern search and recommendation engines, this book is an essential resource for mastering vector databases-the core infrastructure driving intelligent systems in the era of machine learning.

• Format: Paperback
• Language: English
• ISBN: B0FWZVMBH3
• ISBN13: 9798270613778
• Release Date: October 2025
• Publisher: Independently Published
• Length: 198 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"