AI-Ready PostgreSQL 18: Building Intelligent Data Systems with Transactions, Analytics, and Vectors

PostgreSQL for transactional, analytical, and AI workloads

AI-Ready PostgreSQL 18: Building Intelligent Data Systems with Transactions, Analytics, and Vectors brings PostgreSQL into the center of a conversation many teams are already having: how to keep data reliable, queryable, and ready for AI without splitting everything across too many systems. Vibhor Kumar and Marc Linster focus on the practical side of that problem, showing where PostgreSQL fits when an application needs both strong transactional behavior and the flexibility to support analytics and vector-based AI use cases.

The book is built for readers who want architectural clarity. Instead of treating AI as a bolt-on feature, it frames intelligent applications as systems that still need sound data modeling, performance discipline, and sensible trade-offs. That makes the material especially useful for developers, data engineers, database engineers, and solution architects working on modern enterprise platforms.

What the book explores

• why transactional, analytical, and AI systems place different demands on a database
• how PostgreSQL evolved into a strong candidate for modern enterprise workloads
• how a sample e-commerce application can be used to ground the concepts in practice
• how vector search and AI-oriented patterns fit into a PostgreSQL-centered architecture
• when PostgreSQL is enough on its own, and when it makes sense to complement it with specialized tools

A grounded guide for builders

The tone suggested by the material is practical rather than speculative. This is a book for teams that need to make decisions, not just admire the technology. If you are evaluating PostgreSQL 18 for a platform that has to support real-world transactions, reporting, and AI-enabled features, this title offers a focused way to think through the architecture.

Digital Delights offers the ebook edition for readers who prefer immediate access and a flexible digital workflow.

Why it stands out

Many books about AI and databases overpromise. This one appears to take the opposite route: it starts with the database fundamentals that matter and builds toward intelligent application design from there. That makes it a strong fit for technical readers who want a clear, structured introduction to PostgreSQL 18 in the context of AI-powered enterprise software.