{"product_id":"designing-with-vectors-john-rugar-9798272821751","title":"Designing with Vectors: A Practical Guide to Vector Databases","description":"\u003cb\u003e\u003ci\u003eDesigning with Vectors: A Practical Guide to Vector Databases\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003eWhat if machines could not only store your data - but truly understand its meaning?\u003cbr\u003e\u003ci\u003eDesigning with Vectors\u003c\/i\u003e takes you inside one of the most transformative shifts in modern computing - the rise of \u003cb\u003evector databases\u003c\/b\u003e, the invisible engines powering semantic search, recommendation systems, and retrieval-augmented AI. This isn't just another technical manual; it's a roadmap for designing systems that think in context and retrieve information by meaning, not by keywords.\u003cbr\u003eIn this groundbreaking guide, \u003cb\u003eJohn Rugar\u003c\/b\u003e demystifies the world of embeddings, similarity metrics, and vector indexing - showing you, step by step, how to build scalable, intelligent data systems that bridge human language and machine understanding. You'll learn how to turn raw text, images, and audio into meaningful vectors, connect them to large language models, and architect production-ready solutions that respond like living knowledge systems.\u003cbr\u003eInside, you'll discover how to: \u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eMaster the foundations\u003c\/b\u003e of vectors, embeddings, and semantic representation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBuild and scale vector databases\u003c\/b\u003e using leading tools like \u003cb\u003eFAISS, Milvus, Weaviate, Chroma, and Pinecone\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIntegrate vector search with LLMs\u003c\/b\u003e to power next-generation RAG applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOptimize performance\u003c\/b\u003e through indexing, metadata filtering, caching, and hybrid search.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEnsure security and compliance\u003c\/b\u003e in enterprise-grade vector systems.\u003c\/li\u003e\n\u003c\/ul\u003eUnlike typical AI books that focus on theory, \u003ci\u003eDesigning with Vectors\u003c\/i\u003e takes a \u003cb\u003ebuilder-first approach\u003c\/b\u003e - blending clarity, depth, and practicality. Each chapter feels like a workshop: step-by-step explanations, working code, and real-world scenarios you can implement immediately.\u003cbr\u003eIf you're an \u003cb\u003eAI engineer, data scientist, software developer, or architect\u003c\/b\u003e looking to move beyond traditional databases, this book gives you the tools - and the mindset - to build systems that \u003cb\u003eunderstand context, intent, and meaning\u003c\/b\u003e.\u003cbr\u003e\u003cb\u003eLearn how to design with vectors - and create the kind of intelligent systems the future will depend on.\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eGet your copy now and start building the next generation of AI-driven data intelligence.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e John Rugar\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798272821751\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/03\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 450\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.32lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.91d","brand":"John Rugar","offers":[{"title":"Paperback","offer_id":49083775615231,"sku":"9798272821751","price":29.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/designing-with-vectors-john-rugar-9798272821751","provider":"WR Book House","version":"1.0","type":"link"}