{ "item_title" : "Vector Database Engineering for Intelligent Systems", "item_author" : [" Silas Talon "], "item_description" : "Modern AI systems no longer rely solely on traditional relational or document databases. As applications shift toward semantic understanding, recommendation, personalization, and autonomous reasoning, vector databases have become a foundational layer of intelligent software architecture.Vector Database Engineering for Intelligent Systems is a comprehensive, hands-on guide to building, deploying, and operating high-performance vector-based data infrastructure for real-world AI applications. Written for software engineers, ML practitioners, data architects, and AI product builders, this book bridges the gap between theory and production-grade implementation.The book explores how high-dimensional embeddings are generated, stored, indexed, and retrieved at scale, and how vector databases integrate seamlessly into modern AI stacks. Readers will learn how to design efficient embedding workflows, implement approximate nearest neighbor search, optimize similarity metrics, and build retrieval layers that power search engines, recommendation systems, conversational agents, and Retrieval-Augmented Generation (RAG) pipelines.Beyond core concepts, the book dives deep into system design decisions, including memory layout strategies, indexing algorithms, hybrid vector-metadata querying, sharding, replication, and performance tuning. It also covers cloud-native deployment patterns, latency optimization, cost control, and security considerations for enterprise environments.Practical examples and architectural walkthroughs demonstrate how vector databases fit into end-to-end AI systems connecting data ingestion, model inference, orchestration layers, and downstream applications. The book emphasizes vendor-agnostic principles while addressing popular open-source and managed solutions, enabling readers to make informed technology choices.By the end of this book, readers will be able to confidently design, implement, and scale vector database solutions that support intelligent search, contextual understanding, and next-generation AI workloads.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/825/701/9798257015182_b.jpg", "price_data" : { "retail_price" : "17.00", "online_price" : "17.00", "our_price" : "17.00", "club_price" : "17.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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