Oracle Database Programming using 23ai/26ai: SQL, JavaScript, Python, and End-to-End AI Application Development

What if everything you thought you knew about Oracle databases is about to change—forever? What if the era of Oracle 23ai and 26ai is not just an upgrade, but a complete re-imagining of how developers build, deploy, and scale intelligent applications? And more importantly… are you ready to take advantage of it? This book invites you into a conversation—a deep, curious, and sometimes provocative exploration of what it really means to build modern AI-powered systems with Oracle’s newest database generations. Think about it: when was the last time a database could embed machine learning, run JavaScript natively, handle vector search, orchestrate autonomous agents, and execute Python inside the engine—all without leaving your workflow? Even seasoned professionals are asking, “Is this still a database, or an AI platform disguised as one?” Here’s the real question: Are you using Oracle to its full capability, or just scratching the surface? Many developers rely on SQL alone, unaware that Oracle 23ai/26ai now supports multimodal AI, ONNX model hosting, in-database inference, and autonomous pipelines. If you’ve ever wondered how to move from traditional development into fully integrated AI-driven architectures, this book doesn’t just give you answers—it challenges you to rethink the entire process. Why does Oracle now run JavaScript and Python inside the database engine? Because the future belongs to polyglot systems that eliminate the friction between languages, services, and data. This book explores how these languages interact, how developers can mix them in production, and how AI features rewrite the rules for indexing, querying, and embedding unstructured content. And let’s be honest—are you perhaps overwhelmed by rapid AI advancements? Many developers are. That’s why this guide walks you step-by-step through real conversations you should be having with yourself and your team: How do we design AI-first schemas and workflows? When should we store vectors, and when should we compute them on the fly? Should models live in the app layer or inside the Oracle engine? How do we integrate Python, JavaScript, and SQL without creating chaos? How do we migrate existing systems into Oracle 23ai/26ai without breaking anything? Are we secure and compliant when running AI pipelines directly in the database? Throughout the book, you’ll encounter scenarios, dilemmas, and real-world prompts that encourage you to question your assumptions, validate your strategies, and refine your architectural thinking. This isn’t a dry manual. It’s a guided exploration—one that challenges you to master everything from embeddings to agent workflows, from PL/SQL best practices to full-stack AI deployment. You’ll learn how to: Use SQL in new AI-enabled contexts Build hybrid AI applications using Oracle’s integrated Python and JavaScript runtimes Implement vector search, embeddings, and high-speed retrieval Host and execute ONNX models directly inside Oracle Build autonomous agents that interact with structured and unstructured data Deploy AI workflows end-to-end, from ingestion to inference Automate operations, performance, governance, and compliance for AI-driven systems And if you are still wondering, “Is this book right for me?” ask yourself: Do you want to stay relevant as databases evolve into intelligent, multimodal platforms? Do you want to build next-generation applications without stitching together dozens of external tools? If your answer to any of these is yes, then this book is not just helpful—it is essential. This is your moment to level up. View Less