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Vector Databases and Embeddings in Practice|Mohan Rayithi

Vector Databases and Embeddings in Practice : Architecting Intelligent Retrieval Systems in the Age of AI

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798250583350
  • ISBN-10: 9798250583350
  • Publisher: Independently Published
  • Publish Date: March 2026
  • Dimensions: 11 x 8.5 x 0.81 inches
  • Shipping Weight: 2 pounds
  • Page Count: 392

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