Vector Database Systems Engineering: Designing High-Performance Embedding Pipelines, Retrieval Architectures, and Scalable AI Data Infrastructure - Couverture souple

Colton, Zhao

 
9798275866773: Vector Database Systems Engineering: Designing High-Performance Embedding Pipelines, Retrieval Architectures, and Scalable AI Data Infrastructure
Couverture souple
ISBN 13 : 9798275866773
Editeur : Independently published, 2025

Synopsis

Vector Database Systems Engineering is an advanced, practical guide to building intelligent, scalable, and high-performance vector-native architectures for modern AI applications, this book explores the core principles, engineering patterns, and production methodologies behind vector search, embedding management, and semantic retrieval.
You’ll learn how to evaluate and implement vector databases, optimize similarity search, design hybrid indexing structures, and build large-scale retrieval-augmented generation (RAG) pipelines for real-world applications. From embeddings lifecycle management to distributed storage, from latency optimization to multi-model retrieval routing, this book explains how to construct robust AI data systems that support search, reasoning, and generative intelligence.
Packed with detailed architectural breakdowns, hands-on examples, performance benchmarks, and infrastructure blueprints, this guide empowers you to make informed decisions about vector database technologies, system capacity planning, replication strategies, and long-term AI data governance.

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Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798275866773
Reliure
Broché
Nombre de pages
152
Coordonnées du fabricant
non disponible
Personne responsable
non disponible