Code: 51408367
VECTOR DATABASES AND EMBEDDINGS IN PRACTICE
by Mohan Rayithi
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 moder ... more
- Language:
English - Binding: Paperback
- Number of pages: 392
Publisher: Independently published, 2026
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25.07 €
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Book synopsis
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.
Book details
25.07 €
- Full title: VECTOR DATABASES AND EMBEDDINGS IN PRACTICE
- Subtitle: Architecting Intelligent Retrieval Systems in the Age of AI
- Author: Mohan Rayithi
- Language: English
- Binding: Paperback
- Number of pages: 392
- EAN: 9798250583350
- ID: 51408367
- Publisher: Independently published
- Weight: 907 g
- Dimensions: 280 × 216 × 20 mm
- Date of publishing: 03. March 2026
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