VECTOR DATABASES AND EMBEDDINGS IN PRACTICE: Architecting Intelligent Retrieval Systems in the Age of AI

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. Read more