Resources

Harnessing the Power of Vectors and AI to Build the Next Generation of Intelligent Apps

A new wave of AI has emerged, changing the way businesses use internal and external data in existing workflows. The combination of Large Language Models (LLMs) and Embedding Models (models that can create high dimensional vectors from unstructured data) now enable you to make sense of data of any type. With >80% of information being unstructured (think text, documents, images, video files, etc.), search is moving beyond just the keyword, with vector embeddings helping to contextualize all of this data, even when your end users might not know what they’re looking for. So how can your business utilize vector search and the power of LLMs to extend your own corporate knowledge set and increase relevant results? Stephen O’Grady, Principal Analyst & Co-founder at RedMonk joined Benjamin Flast, Product Management Lead at MongoDB for a discussion on these tectonic trends, including: What Vector Search is and how AI plays a role in making sense of unstructured data. How to create vector embeddings to increase relevance by harnessing the power of LLMs. Various approaches to storing and retrieving vectors. Real world examples of vector use cases, AI integrations, and results.

Watch presentation →

Innovate With AI: The Future Enterprise

Driving industry success with artificial intelligence and MongoDB Atlas Artificial intelligence (AI) is quickly becoming a universal tool that fits in every industry’s toolbox. While its implemention can be risky, complex, and time-consuming, the potential benefits, such as higher profits, faster innovation, and lower costs, are driving industries toward an AI-powered future. The world’s most innovative industries haven’t missed a beat in turning robust operational data into the ingredients for powerful applications with the potential to transform the status quo. In this ebook, we will explore: The top use cases across six core industries that are infused with MongoDB Atlas AI capabilities Insights from AI pioneers sharing their expert opinions on the future of AI AI and application modernization programs How partners are leveraging MongoDB to build AI solutions

View white paper →

Innovate With AI: The Future Enterprise

Driving industry success with artificial intelligence and MongoDB Atlas Artificial intelligence (AI) is quickly becoming a universal tool that fits in every industry’s toolbox. While its implementation can be risky, complex, and time-consuming, the potential benefits, such as higher profits, faster innovation, and lower costs, are driving industries toward an AI-powered future. The world’s most innovative industries haven’t missed a beat in turning robust operational data into the ingredients for powerful applications with the potential to transform the status quo. In this e-book, we will explore: The top use cases across six core industries that are infused with MongoDB Atlas AI capabilities Insights from AI pioneers sharing their expert opinions on the future of AI AI and application modernization programs How partners are leveraging MongoDB to build AI solutions Download epub version

View white paper →

Generative AI and Creating the Art of the Possible

Over the past 25 years, the core elements of any transformative change have been people, culture, process, and technology. Generative AI (gen AI) follows this pattern but stands out as potentially more significant than any previous technological transformation. Put simply, gen AI has the potential to impact every industry and to fundamentally alter how we live, work, and communicate. In this white paper, you’ll understand how executives and IT leaders tasked with addressing those challenges are developing their approaches and strategies.

View white paper →

Unleash Telco Transformation with an Operational Data Layer

This white paper explores how building an operational data layer (ODL) using MongoDB provides a strategic pathway for telcos to modernize their infrastructures from legacy systems. An ODL is an architectural paradigm that centrally integrates and organizes siloed enterprise data, making it readily available to consuming applications. It acts as an intermediary between existing data sources and the applications that need to access that data, providing a unified, consistent, and real-time view of enterprise data across various domains. By implementing an ODL using MongoDB, telcos can transition from rigid, costly systems to a flexible, scalable platform that supports current and future needs, effectively modernizing their infrastructure. Key benefits include: Enabling a unified data layer that provides seamless data access Facilitating event-driven architectures that react to real-time changes Supporting AI-powered customer service Monitoring network performance in real time Enhancing security and legal compliance The ODL approach fosters rapid innovation and builds a future-proof foundation to position telecom providers for long-term success.

View white paper →

Smart, Scalable, and Secure: MongoDB Atlas on Google Cloud for Manufacturers

Transform Manufacturing With Real-Time Data Manufacturers are facing unprecedented challenges—from global supply chain disruptions to evolving customer expectations. Data is the key to unlocking smarter, more agile operations, but legacy databases can’t keep up. MongoDB Atlas on Google Cloud delivers a modern solution built to handle manufacturing’s complex, real-time data demands. MongoDB Atlas offers a flexible, document data model that easily adapts for different use cases—from equipment sensors and supply chain metrics to customer behavior. It’s a fully managed, secure, and compliant cloud database that integrates seamlessly with Google Cloud’s powerful AI, analytics, and development tools. Together with Google Cloud’s Manufacturing Data Engine (MDE), MongoDB Atlas enables real-time data streaming, contextualization, and transformation straight from the factory floor. Manufacturers gain actionable insights for predictive maintenance, anomaly detection, and process optimization—with minimal overhead and zero re-integration. Whether you're centralizing vehicle maintenance records, powering IoT-driven product features, or optimizing inventory in real time, MongoDB Atlas helps teams innovate faster and more cost-effectively. Built-in support for BigQuery, Looker, Vertex AI, and more enables AI-powered insights that drive business wins. Now’s the time to future-proof your manufacturing operations. Move beyond the limitations of relational databases and into a scalable, secure, and AI-ready foundation for Industry 4.0.

View datasheet →

Get started: Atlas as an Azure Native Integration

Deploy modern applications faster with MongoDB Atlas as an Azure Native Integration. This step-by-step quick start guide walks you through provisioning MongoDB Atlas directly from the Azure Portal—just like any native Azure service. By streamlining setup, simplifying billing, and removing deployment friction, this native integration empowers you to build confidently with MongoDB’s flexible document model and Azure’s robust cloud infrastructure. With this integration, you can find and launch MongoDB Atlas using the Azure Portal. Once deployed, your Atlas organization is managed directly from the Azure console, with billing automatically consolidated under your Azure subscription. This eliminates the need for multiple platforms, accounts, or manual setup—reducing DevOps complexity and accelerating time to value. From initial setup to advanced configurations, this guide covers: Locating and provisioning Atlas from Azure Setting up billing and access controls Configuring single sign-on (SSO) with Microsoft Entra ID Managing users, networks, and cluster deployment Tips for offboarding and next steps Whether you’re building transactional applications, generative AI experiences, or real-time analytics, MongoDB Atlas on Azure offers seamless integration with services like Azure OpenAI, Microsoft Fabric, and Azure Databricks. Start building with the scale, performance, and security of MongoDB Atlas on Azure! To create new MongoDB Atlas organizations through the Azure Portal, check out our MongoDB Atlas as an Azure Native Integration listing . To connect an existing MongoDB Atlas organization, visit our Marketplace Pay-as-you-go listing .

View white paper →

De-Risk and Accelerate Migrating to MongoDB Atlas on Azure

De-risk and accelerate the migration of your on-premises MongoDB workloads (Community or Enterprise Advanced) to MongoDB Atlas on Azure. Read this guide to understand how to accelerate your move to modernize, optimize, and unlock the full potential of your data. Migration is simpler than you might expect with tools like the fully managed Atlas Live Migrate and using programs such as the Microsoft Cloud Accelerate Factory (CAF) and MongoDB Migration Factory. Moving to MongoDB Atlas on Azure offers significant benefits: Reduce total cost of ownership (TCO): Eliminate hardware/maintenance costs. Optimize costs with pay-as-you-go pricing. Free up IT teams: Atlas is a fully managed service handling infrastructure tasks. Your teams can focus on innovation and strategic projects . Increase agility and scalability: Easily scale deployments up or down for optimal performance . Adapt quickly to market demands. Enhance security: Leverage Azure infrastructure and integrations (Microsoft Entra ID, Azure Key Vault, Microsoft Purview) for robust data protection and compliance . Accelerate application development: Use a fully managed modern data platform . Integrations like Semantic Kernel and Entity Framework enable AI-powered applications . Improve performance: Get low-latency data access globally. Use native unified search (full-text, semantic) directly within the database. Moving to MongoDB Atlas on Azure makes the cloud transition effortless. Simplify management, free IT for innovation, and get greater value from your data on a fully managed, secure, scalable platform with free expert guidance .

View datasheet →

The State of Data and Operational Readiness for AI

AI offers organizations of all sizes significant advantages, including deeper insights, increased productivity, better customer service, and greater operational efficiencies. However, achieving these benefits requires a strong data foundation that can support high volumes of diverse data, skilled teams, and solid deployment and governance strategies. While many organizations are making progress, some are not yet fully prepared to achieve their AI goals. Download this report to explore the current state of AI readiness, focusing on how organizations are preparing their data and operations for generative and agentic AI systems. You'll also learn how MongoDB can help your organization build the robust data foundation needed for successful AI implementation.

View datasheet →

MongoDB Evolves Its Portfolio with AI at the Top

Businesses will tap the power of AI by pairing their own business data with generative AI and large language models (LLMs) to deliver the next wave of intelligent, business-specific, applications. But to achieve that, we’ve got to free developers from the tedious and laborious tasks that dominate their workload today. That’s a key observation of IDC’s Market Perspective. The report takes an in-depth look at how MongoDB integrates gen AI into its developer data platform to empower developers with advanced AI capabilities and bring them a powerful integration with Amazon Q. Read the full report to learn: How MongoDB uses Atlas Vector Search to integrate corporate ops data and automate complex coding tasks for smart apps How MongoDB’s partnership with Amazon accelerates coding of gen AI apps How MongoDB speeds legacy database migrations How MongoDB's early gen AI capabilities position it in the innovator space while making its offerings richer and more attractive for developers

View white paper →

Using AI to Unlock New Opportunities in Payments with Celent, Icon Solutions, and MongoDB

Artificial intelligence technologies are by no means new to the banking industry. The use of machine learning has been central to areas such as risk, financial crime, and compliance for many years. Celent's recent" Harnessing the Benefits of AI in Payments " report highlights how the investments in data analytics and AI technologies lead the agenda for 2024 with 72% of banks exploring or testing new propositions. Many banks are already making considerable use of AI and analytics in their payment processing operations, and there is now an even greater focus across the industry on using AI and intelligent automation to streamline a wide range of workflows and processes to drive product innovation and operational efficiency. These themes are central to many of the payment transformation projects underway in the industry. Don't miss this on-demand webinar with guest speakers from industry analyst Celent and payments solutions provider Icon Solutions where we will be diving into the different AI use cases within payments. We will cover: Key findings from Celent's latest Using AI to Unlock New Opportunities in Payments report The current adoption and investment plans around AI technologies and advanced analytics by banks The different use cases for AI in back/middle and front office operations to support payments innovation Where to start when looking to leverage AI technologies You will hear from: Kieran Hines: Principal Analyst, Banking and Payments at Celent Toine van Beusekom: Strategy Director at Icon Solutions Joerg Schmuecker: Managing Director Industry Solutions and Application Modernization

Watch presentation →

Using AI to Unlock New Opportunities in Payments with Celent, Icon Solutions, and MongoDB

Artificial intelligence technologies are by no means new to the banking industry. The use of machine learning has been central to areas such as risk, financial crime, and compliance for many years. Celent's recent " Harnessing the Benefits of AI in Payments " report highlights how the investments in data analytics and AI technologies lead the agenda for 2024 with 72% of banks exploring or testing new propositions. Many banks are already making considerable use of AI and analytics in their payment processing operations, and there is now an even greater focus across the industry on using AI and intelligent automation to streamline a wide range of workflows and processes to drive product innovation and operational efficiency. These themes are central to many of the payment transformation projects underway in the industry. Don't miss this on-demand webinar with guest speakers from industry analyst Celent and payments solutions provider Icon Solutions where we will be diving into the different AI use cases within payments. We will cover: Key findings from Celent's latest Using AI to Unlock New Opportunities in Payments report The current adoption and investment plans around AI technologies and advanced analytics by banks The different use cases for AI in back/middle and front office operations to support payments innovation Where to start when looking to leverage AI technologies You will hear from: Kieran Hines: Principal Analyst, Banking and Payments at Celent Toine van Beusekom: Strategy Director at Icon Solutions Boris Bialek: Field CTO at MongoDB

Watch presentation →