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Designing with Vectors: A Practical Guide to Vector Databases
Paperback
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ISBN13: 9798272821751
Publisher: Independently Published
Published: Nov 3 2025
Pages: 450
Weight: 1.32
Height: 0.91 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: Nov 3 2025
Pages: 450
Weight: 1.32
Height: 0.91 Width: 6.00 Depth: 9.00
Language: English
Designing with Vectors: A Practical Guide to Vector Databases
What if machines could not only store your data - but truly understand its meaning?
Designing with Vectors takes you inside one of the most transformative shifts in modern computing - the rise of vector databases, 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.
What if machines could not only store your data - but truly understand its meaning?
Designing with Vectors takes you inside one of the most transformative shifts in modern computing - the rise of vector databases, 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.
In this groundbreaking guide, John Rugar 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.
Inside, you'll discover how to:
If you're an AI engineer, data scientist, software developer, or architect looking to move beyond traditional databases, this book gives you the tools - and the mindset - to build systems that understand context, intent, and meaning.
Learn how to design with vectors - and create the kind of intelligent systems the future will depend on.
Get your copy now and start building the next generation of AI-driven data intelligence.
Inside, you'll discover how to:
- Master the foundations of vectors, embeddings, and semantic representation.
- Build and scale vector databases using leading tools like FAISS, Milvus, Weaviate, Chroma, and Pinecone.
- Integrate vector search with LLMs to power next-generation RAG applications.
- Optimize performance through indexing, metadata filtering, caching, and hybrid search.
- Ensure security and compliance in enterprise-grade vector systems.
If you're an AI engineer, data scientist, software developer, or architect looking to move beyond traditional databases, this book gives you the tools - and the mindset - to build systems that understand context, intent, and meaning.
Learn how to design with vectors - and create the kind of intelligent systems the future will depend on.
Get your copy now and start building the next generation of AI-driven data intelligence.
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