MongoDB Books
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Explore our curated selection of MongoDB books, written by experienced professionals on our team, published by MongoDB Press.
Future-Ready Data Foundation with MongoDB thumbnail
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Future-Ready Data Foundation with MongoDB
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Sarah Evans | Published: September 2026Future-Ready Data Foundation with MongoDB is a concise guide to AI-ready data architecture for technology leaders, architects, and engineers building data infrastructure that AI can run on. The book explains why AI initiatives stall—not for lack of models or talent, but because of gaps in foundational data architecture. Topics include retrieval-augmented generation (RAG), how AI agents perceive, reason, act, and remember, and the trade-offs across lexical, vector, and hybrid search. You'll also find MongoDB's document model, MongoDB Vector Search, scaling patterns with replication and sharding, and governance for regulated AI. Assess your AI readiness and design for what comes next.
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From Systems of Record to Agentic Systems of Action thumbnail
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From Systems of Record to Agentic Systems of Action
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Jeff Needham, Humza Akhtar, Peyman Parsi, Albert Cortez, Taylor Hedgecock | Published: September 2026From Systems of Record to Agentic Systems of Action is an architecture-first guide to moving agentic AI from early demos into real enterprise workflows. The book shows how to build Systems of Action, where humans and AI agents share business context, operate within defined authority, and retain decision-relevant intelligence—the information needed to make decisions—while systems of record remain authoritative for the business state and transactions they own. The Intelligence Context Layer is a core component of a System of Action, implemented on MongoDB to keep enriched business context and decision traces connected to business objects and make that intelligence retrievable across workflows.Patterns and worked examples from insurance, healthcare, manufacturing, and financial services show how to manage legacy system coexistence, bounded agent authority, human oversight, and the platform capabilities needed to scale across teams. Written for enterprise architects and technology leaders, the book requires no MongoDB tooling expertise and helps you design and operate agentic AI at enterprise scale.
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High Performance with MongoDB thumbnail
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High Performance with MongoDB
Asya Kamsky, Ger Hartnett, Alex Bevilacqua | Published: September 2025This MongoDB book helps you unlock the full potential of MongoDB’s document model and distributed architecture. It offers a hands-on approach to diagnosing common performance issues and applying proven optimization strategies, covering everything from schema design and indexing to storage engine tuning. Whether optimizing a replica set or scaling a sharded cluster, this book provides tools to maximize performance. Its modular chapters allow for focused exploration (query optimization, connection management, monitoring) or a complete learning path. With real-world case studies and best practices, you'll be ready to troubleshoot bottlenecks, scale efficiently, and keep MongoDB running at peak performance.
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Building Modern Data Applications with MongoDB and .NET thumbnail
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Building Modern Data Applications with MongoDB and .NET
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Luce Carter | Published: September 2026Building Modern Data Applications with MongoDB and .NET takes C# and .NET developers past basic queries and into MongoDB's more powerful search and retrieval tools. The book works through three techniques: reshaping data with aggregation pipelines, adding full-text search via MongoDB Search, relevance tuning and autocomplete, and building semantic search with MongoDB Vector Search. The final part combines all three in one application, and covers Entity Framework Core support for .NET teams. Each part covers performance and index management, so your queries hold up as data grows. Written for C# and .NET developers with some MongoDB experience, it leaves you able to build a search that understands what users actually mean.
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MongoDB Essentials thumbnail
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MongoDB Essentials
The MongoDB Team | Published: September 2025MongoDB Essentials is a concise, practical guide for developers, architects, DBAs, and decision-makers needing to quickly master MongoDB's flexibility, speed, and intelligence for modern applications. It covers core principles—the document model, distributed architecture (replica sets, sharding)—and hands-on skills like installation, schema design, CRUD, and the aggregation pipeline. You'll also find performance tips and an introduction to AI-enhanced tools like Atlas Search and Atlas Vector Search. Start working with MongoDB confidently right away.
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Architectures for the Intelligent AI-Ready Enterprise thumbnail
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Architectures for the Intelligent AI-Ready Enterprise
Boris Bialek, Sebastian Rojas Arbulu, Taylor Hedgecock | Published: September 2025Architectures for the Intelligent AI-Ready Enterprise details System of Action databases for real-time decision-making, with case studies across manufacturing, healthcare, finance, and retail. It covers semantic data protection for regulated industries and advanced patterns like agentic AI. Written by MongoDB and industry experts, the guide combines strategy and technical depth. Learn to modernize with AI while preserving existing investments, implement trustworthy AI with governance, and build scalable solutions using a unified data platform like MongoDB for measurable ROI. Ideal for architects, this guide offers the patterns, case studies, and expert advice needed for an intelligent future.
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The Official MongoDB Guide thumbnail
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The Official MongoDB Guide
Rachelle Palmer, Jeffrey Allen, Parker Faucher, Alison Huh, Lander Kerby, Maya Raman, Lauren Tran | Published: September 2025The Official MongoDB Guide provides essential guidance on building secure, scalable, and high-performance applications. It covers everything from core concepts, architecture, data modeling, indexing, and query optimization to developer tooling and AI-assisted workflows. The book includes security deep-dives on authentication, authorization, encryption, and compliance, with specific focus on MongoDB Atlas features like Atlas Search and Atlas Vector Search. Learning directly from MongoDB's team will enable you to confidently design and manage MongoDB applications.
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Practical MongoDB Aggregations thumbnail
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Practical MongoDB Aggregations
Paul Done | Published: September 2023Practical MongoDB Aggregations unlocks the full potential of the MongoDB aggregation framework, including MongoDB 7.0 features. It offers practical, easy-to-understand principles and approaches for building effective, optimized aggregation pipelines, supported by examples for complex data manipulation and analysis. This book is for developers, architects, data analysts, data engineers, and data scientists familiar with the aggregation framework. It covers the framework's architecture, building optimized pipelines, and best practices for manipulating arrays—critical to the MongoDB document model.
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Building AI Intensive Python Applications thumbnail
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Building AI Intensive Python Applications
Richmond Alake, Ashwin Gangadhar, Nicholas Larew, Sigfrido Narváez, Rachelle Palmer , Ben Perlmutter, Shubham Ranjan, Thomas Rueckstiess, Henry Weller | Published: September 2024This book is a roadmap for harnessing generative AI with MongoDB. Learn the core components: LLMs, vector databases, and Python frameworks, and how they build intelligent applications. Discover best practices for data prep, model selection, and fine-tuning. Master advanced techniques like RAG to combat hallucinations and data leakage. You'll understand vector databases, implement effective vector search, refine models for accuracy, optimize performance, and address AI failures for reliable, valuable results. Evaluate and improve LLM output for enhanced relevance. By the end, you'll be equipped to build sophisticated, valuable AI applications with Python and MongoDB.
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Full Stack FastAPI, React, and MongoDB thumbnail
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Full Stack FastAPI, React, and MongoDB
Marko Aleksendrić, Shubham Ranjan, Shrey Batra, Rachelle Palmer | Published: August 2024Learn to build production-ready web applications using the FARM stack: FastAPI, React, and MongoDB. The book introduces each element, demonstrating seamless integration to create a medium-sized application. You'll set up MongoDB, build a simple FastAPI API, and create a React application, including security with JSON Web Tokens. Go beyond the stack by integrating Large Language Models (like ChatGPT) for advanced features such as automated email. You'll also explore Next.js 14 for an improved full-stack development experience. By the end, you will have created functional applications and gained the foundation to explore diverse development domains.
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Mastering MongoDB 7.0 thumbnail
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Mastering MongoDB 7.0
Marko Aleksendric, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer | Published: January 2024Mastering MongoDB 7.0 covers MongoDB architecture, developer tools, and database connections. It explores advanced queries, including aggregation pipelines and multi-document ACID transactions, as well as MongoDB Atlas features like Atlas Vector Search for AI applications and Atlas Search for resilient functionality. The text also delves into advanced security techniques such as RBAC, user management, auditing, and encryption across data, network, and storage layers. By the end, readers will be skilled in building efficient, secure, and high-performing MongoDB applications, capable of handling complex queries and data security challenges.
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