Agentic AI with PostgreSQL 18. Build Autonomous AI Agents with Memory, Vector Search, and Scalable Real-World Applications (en Inglés) - Peter Flemming

What if your software could think, act, and improve itself-without constant human intervention?

This book is your complete, hands-on guide to building agentic AI systems-intelligent applications that don't just respond to prompts, but autonomously plan, retrieve, reason, and execute real-world tasks. From embeddings and retrieval systems to production deployment, security, and self-improving architectures, this guide walks you through how modern AI systems are actually designed and built today.

You won't just learn concepts-you'll learn how to engineer systems that work in the real world. By the end of this book, you will be able to design AI agents that interact with databases, call APIs, analyze data, automate workflows, and continuously improve through feedback loops.

What makes this book different is its practical, production-first approach. Every concept is grounded in real implementation patterns using PostgreSQL and Python, with clear explanations and working examples. No fluff. No abstract theory. Just the exact knowledge you need to build scalable, reliable AI systems.

Inside, you'll discover how to:

Build retrieval-augmented systems that deliver accurate, context-aware responses

Design autonomous agents that execute tasks across real systems

Implement secure, production-ready AI architectures

Create self-improving agents that learn from user interactions

Apply advanced patterns used in real-world AI deployments

Whether you're a software developer, AI engineer, or technical builder looking to stay ahead, this book equips you with the tools and mindset to move beyond chatbots and into true intelligent systems.

The future of software is agentic-and it's already here.

Start building systems that don't just respond... but think, act, and evolve.