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

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 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.

• Format: Paperback
• Language: English
• ISBN: B0GR3W4Q6C
• ISBN13: 9798250583350
• Release Date: March 2026
• Publisher: Independently Published
• Length: 392 Pages
• Weight: 2.00 lbs.
• Dimensions: 0.8" x 8.5" x 11.0"