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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