{"product_id":"vector-database-fundamentals-for-developers-core-concepts-to-integrate-vector-search-into-software-solutions-9798267302449","title":"Vector Database Fundamentals for Developers: Core concepts to integrate vector search into software solutions","description":"\u003cp\u003e • Author(s): Laitan Michael\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Databases - General\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMaster the Core Concepts and Tools Behind Vector Databases and AI Retrieval Systems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eIn a rapidly evolving AI landscape, knowing how to store, search, and retrieve vector embeddings is no longer optional. Whether you're building RAG pipelines, designing search infrastructure, or integrating with modern LLM frameworks, this book gives you a clear and practical understanding of vector databases from the ground up. \u003cp\u003e\u003c\/p\u003eMany developers struggle to implement scalable vector search because most resources are either too academic or too shallow. This book bridges that gap. It walks you through the mathematical foundations, shows you how real systems are built, and gives you the tools to reason about tradeoffs across performance, cost, and design. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You Will Learn: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eKey concepts: cosine similarity, vector norms, top-k retrieval\u003c\/li\u003e\n\u003cli\u003eWhen and how to use FAISS, Milvus, Weaviate, and Pinecone\u003c\/li\u003e\n\u003cli\u003eUnderstanding indexes like IVF, HNSW, PQ, DiskANN\u003c\/li\u003e\n\u003cli\u003eHow RAG systems work and how retrieval affects output quality\u003c\/li\u003e\n\u003cli\u003eEvaluating embeddings and retrievers with MRR, NDCG, Recall\u003c\/li\u003e\n\u003cli\u003eMultilingual search, memory systems, and semantic filters\u003c\/li\u003e\n\u003cli\u003eSecurity, tenancy, real-time updates, and production scaling\u003c\/li\u003e\n\u003cli\u003eEnd-to-end design of indexing pipelines and RAG workflows\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eIncludes Practical Add-Ons: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eCheat Sheet for quick reference\u003c\/li\u003e\n\u003cli\u003eFlashcards to test your understanding\u003c\/li\u003e\n\u003cli\u003eKey Takeaways and Application Tips\u003c\/li\u003e\n\u003cli\u003eCommon Mistakes to avoid\u003c\/li\u003e\n\u003cli\u003eFull Index for quick lookups\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eIncludes Code and Math Equations: \u003c\/b\u003e\u003cbr\u003eThis is a hands-on technical book. You'll find working code in Python, SQL, and Bash, along with clearly formatted mathematical equations that explain scoring functions, distances, and evaluation metrics. Every concept is grounded in practical logic and tied to real-world use. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eGrab your copy today and build your foundation in modern vector search and AI retrieval.\u003c\/b\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779162488983,"sku":"9798267302449","price":2089.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798267302449.webp?v=1778033913","url":"https:\/\/atlanticbooks.com\/products\/vector-database-fundamentals-for-developers-core-concepts-to-integrate-vector-search-into-software-solutions-9798267302449","provider":"Atlantic Books","version":"1.0","type":"link"}