SKU/Artículo: AMZ-9334352515
Semantic AI Search with Vector Databases: A Complete Guide to Semantic Search, Embeddings & RAG. Think like AI, search smarter with vector databases.
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0.36 kg
0.36 kg
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Amazon
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- About the Author Amol Bhoite is a highly accomplished strategist and technologist whose career spans leadership in digital transformation, data modernisation, presales engineering, architect, leading product teams, development, and DBA. His expertise covers cloud-native systems, DBaaS, SaaS, storage, virtualisation, Kubernetes, infrastructure, and AI platforms. A recognised thought leader, he has authored global publications and spoken at leading industry events. His current work focuses on databases and vector search, RAG architectures, and practical applications of AI. With this book, he aims to bridge the gap between traditional data systems and AI-driven search, giving readers the clarity and confidence to explore, build, and share in this new era of technology. https://www.linkedin.com/in/amolbhoite/ Finally! The Vector Database Guide That Actually Makes AI Work Tired of endless AI buzzwords and vendor hype? Struggling to turn GenAI promises into real business results? If you've ever felt lost in the maze of vector databases, frustrated by theoretical guides, or overwhelmed by marketing slides, this book is your lifeline. Why This Book Matters Written by a battle-tested architect, this is not just another academic exercise. It's a practical, hands-on guide built from real boardroom decisions, million-dollar projects, and enterprise-scale AI deployments. What You’ll GetClear, actionable guidance: No fluff, no jargon. Use it tomorrow.Real enterprise insights: Learn from actual decision-makers, not slides.Hands-on labs: Test everything yourself with step-by-step instructions.Vendor-agnostic comparisons: Pinecone, Weaviate, Milvus, Qdrant, Chroma, pgvector, YugabyteDB, Redis, SQLite, and more.Budget-smart strategies: Avoid costly mistakes that sink AI projects.Business Use Cases That Matter: Legal, Medical, and FinTech industries leverage semantic search to instantly access legal documents, patient records, and financial insights for faster decisions, fraud detection, and real-time analysis.Master the Complete AI StackPart I: Vector Fundamentals: Understand embeddings so well you can explain them at dinner parties.Part II: The Engine Room: Similarity search, indexing, and scaling made simple.Part III: Tool Mastery: Compare top vector databases honestly and objectively.Parts IV–V: RAG Architectures: Build production-ready systems, not just demo apps.Part VI: Future-Proofing: Stay ahead in a rapidly evolving AI landscape. Who This Book Is ForCTOs & Engineering Leaders: Make confident, million-dollar infrastructure decisions.Presales and Software Architects: Design AI-native systems that actually work.DBAs, Developers & Data Engineers: Build RAG applications and integrate AI seamlessly.Students & Career Builders: Master the skills driving the next tech revolution.Real Results You Can ExpectNavigate the crowded vector database landscape like a pro.Spot vendor hype and anti-patterns from a mile away.Build RAG systems that scale in production, not just PowerPoints.Deliver AI applications that create real business value.The Ultimate Test: By the final page, you’ll explain vector databases and embeddings at dinner parties without putting anyone to sleep. Confidence? Check. Mastery? Absolutely. Don’t wait. The AI revolution won’t. Transform your confusion into clarity and your GenAI potential into real-world results. Get your copy today and turn AI strategy into a business reality! “Thank you for reading! If you enjoyed this book, we would appreciate it if you could leave an honest review on Amazon. Your feedback helps me write even better books.”
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AR$57.219
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AR$39.457
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