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Anotace knihy

Vector Databases & Embeddings in Practice is the definitive, production-focused guide to building real-world semantic AI systems.

Go beyond theory and learn how to design, optimize, scale, and secure vector databases powering modern AI. From embeddings and ANN search to Retrieval-Augmented Generation, multimodal systems, agentic retrieval, and enterprise-scale deployment, this book delivers hands-on labs, architecture blueprints, case studies, and production checklists.

If you build AI systems, RAG pipelines, search platforms, or enterprise knowledge copilots — this is your blueprint.

Build meaning. Engineer intelligence. Deploy with confidence.

Parametry knihy

• Plný název: VECTOR DATABASES AND EMBEDDINGS IN PRACTICE
• Podnázev: Architecting Intelligent Retrieval Systems in the Age of AI
• Autor: Mohan Rayithi
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 392
• EAN: 9798250583350
• ID: 51408367
• Nakladatelství: Independently published
• Hmotnost: 907 g
• Rozměry: 280 × 216 × 20 mm
• Datum vydání: 03. March 2026

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