{"product_id":"vector-database-development-systems-yuan-zhu-9798242733299","title":"Vector Database Development Systems: Designing, Building, and Scaling High Performance Semantic Search, Retrieval, and Driven Data Platforms","description":"Vector databases have become a foundational component of modern AI systems powering semantic search, recommendation engines, retrieval-augmented generation (RAG), and intelligent data applications. As traditional databases struggle with high-dimensional data, vector-based systems offer a new paradigm for storing, indexing, and querying meaning at scale.\u003cbr\u003e\u003cb\u003eVector Database Development Systems\u003c\/b\u003e is a comprehensive, hands-on guide for developers, architects, and AI practitioners who want to design, build, and operate robust vector database solutions from the ground up.\u003cbr\u003eThis book goes beyond theory to explain \u003cb\u003ehow vector databases actually work internally\u003c\/b\u003e, including embeddings, similarity metrics, indexing strategies, memory layouts, and query execution pipelines. You'll learn how to architect vector-first systems that are fast, scalable, and production-ready whether running locally, on-premise, or in distributed cloud environments.\u003cbr\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003col\u003e\n\u003cli\u003eCore concepts behind vector representations and high-dimensional data\u003c\/li\u003e\n\u003cli\u003eHow vector databases differ from relational and document databases\u003c\/li\u003e\n\u003cli\u003eIndexing techniques for fast similarity search (approximate and exact)\u003c\/li\u003e\n\u003cli\u003eDesigning ingestion pipelines for embeddings and unstructured data\u003c\/li\u003e\n\u003cli\u003eQuery optimization and relevance tuning for semantic search\u003c\/li\u003e\n\u003cli\u003eBuilding scalable architectures for large-scale AI workloads\u003c\/li\u003e\n\u003cli\u003eIntegrating vector databases into AI applications and workflows\u003c\/li\u003e\n\u003cli\u003eOperational concerns: performance, storage, updates, and monitoring\u003c\/li\u003e\n\u003cli\u003eSecurity, data governance, and system reliability considerations\u003c\/li\u003e\n\u003c\/ol\u003eRather than focusing on a single tool or vendor, this book emphasizes \u003cb\u003esystem-level thinking\u003c\/b\u003e giving you transferable knowledge that applies across open-source, self-hosted, and managed vector database platforms.\u003cbr\u003eWhether you are building AI-powered search, recommendation systems, intelligent assistants, or next-generation data platforms, this book equips you with the \u003cb\u003etechnical depth and practical insight\u003c\/b\u003e needed to succeed.\u003cbr\u003eWritten in clear, structured language with real-world design patterns, \u003cb\u003eVector Database Development Systems\u003c\/b\u003e serves as both a learning guide and a long-term reference for professionals working at the intersection of databases, machine learning, and modern software architecture.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Yuan Zhu\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798242733299\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/05\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 128\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.52lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.27d","brand":"Yuan Zhu","offers":[{"title":"Paperback","offer_id":48997356437759,"sku":"9798242733299","price":17.8,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/vector-database-development-systems-yuan-zhu-9798242733299","provider":"WR Book House","version":"1.0","type":"link"}