Vector Search Made Simple: Find better. Retrieve better. Answer better. 10 minutes a day (Quick Guide to Data Science) - Softcover
Book 16 of 25: Quick Guide to Data Science
Synopsis
Quick Guide to Data Science: Vector Search Made Simple In Quick Guide to Data Science: Vector Search Made Simple, you will learn, in a clear, practical, and step-by-step way, how one of the most important approaches in modern information retrieval works. Ideal for beginners, analysts, data scientists, engineers, managers, consultants, and professionals who want to better understand semantic search, embeddings, vector databases, RAG, and contextual retrieval, this book explains what vector search is, why it matters so much, how vectors, similarity, chunking, indexes, and hybrid systems work, as well as practical applications, usage limits, and integration with generative AI—always following the “10 minutes a day” philosophy.
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Vector Search Made Simple: Find better. Retrieve better. Answer better. 10 minutes a day (Quick Guide to Data Science)
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Vector Search Made Simple
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Vector Search Made Simple (Paperback)
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Paperback. Condition: new. Paperback. Quick Guide to Data Science: Vector Search Made Simple In Quick Guide to Data Science: Vector Search Made Simple, you will learn, in a clear, practical, and step-by-step way, how one of the most important approaches in modern information retrieval works. Ideal for beginners, analysts, data scientists, engineers, managers, consultants, and professionals who want to better understand semantic search, embeddings, vector databases, RAG, and contextual retrieval, this book explains what vector search is, why it matters so much, how vectors, similarity, chunking, indexes, and hybrid systems work, as well as practical applications, usage limits, and integration with generative AI-always following the "10 minutes a day" philosophy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798259237650
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