Future-Ready Data Foundation with MongoDB: Principles for designing scalable and AI-ready data architectures

AI success depends on more than models, it requires a data foundation built for scale, intelligence, and trust. In Future-Ready Data Foundation with MongoDB, you’ll discover the principles behind building AI-ready data architectures that support modern applications, retrieval-augmented generation (RAG), and AI agents. This concise guide explores the critical role of data in AI modernization and shows how MongoDB helps organizations create a unified foundation for innovation.

Through practical architectural insights, you’ll learn how retrieval strategies influence the quality and reliability of AI outcomes and how MongoDB’s document model and vector search capabilities support intelligent data access. You’ll also explore the scalability, performance, and operational patterns required to keep AI systems running efficiently, including replication, sharding, workload isolation, and search optimization. Finally, you’ll examine the governance, observability, security, and compliance considerations that help organizations deploy AI responsibly and at scale.

By the end of this book, you’ll be equipped to evaluate, design, and optimize data foundations that support the next generation of AI-powered applications.

© 2026 Packt Publishing (E-bog): 9781807607166

Udgivelsesdato

E-bog: 7. august 2026