Resources | MongoDB

Application Modernisation: From Relational to NoSQL with Relational Migrator

Oct 16, 2025 10:00 a.m. HKT Language: Cantonese (Materials in English) Are your applications being held back by legacy relational databases? Many organizations feel the pain of outdated systems but fear that modernisation is too complex and risky. Join us on Wednesday, October 16, 2025, at 10 a.m. HKT for our webinar, “Application Modernisation: From Relational to NoSQL with Relational Migrator,” to discover a new path forward. We'll show you how MongoDB’s powerful tools can significantly reduce the effort and risk of moving to a modern data architecture, empowering you to effectively support today's demanding AI applications. In this session, you’ll learn: Why modern AI applications require database platforms specifically designed to handle large, complex data structures. How MongoDB’s Relational Migrator simplifies the entire migration process, from initial data transfer to efficient schema modeling. The role of AI in the Relational Migrator, which helps to automatically update and convert your existing application code. Best practices for reducing the risk and effort associated with transitioning from a traditional RDBMS to a modern document database. Don't let outdated technology limit your potential! Register now to secure your spot for this engaging and educational session. This is your chance to learn directly from our expert presenter, Niko Feng, Senior Solutions Architect at MongoDB, and get your specific questions answered during our live Q&A. Can't make the live event? No problem! Register anyway, and we'll automatically send you a link to the on-demand recording after the webinar so you can watch it at your convenience.

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Intro to Memory Management in AI Agents

Oct 16, 2025 11:30 a.m. SGT AI agents go beyond retrieval-augmented generation (RAG) to transform how intelligent systems learn, adapt, and remember. So managing how agents store, recall, and process that data is essential to delivering seamless, hyper-personalized, and context-rich interactions. Join MongoDB Senior Staff Developer Advocate Anant Srivastava for this engaging webinar. It will equip you with the knowledge and practical tools to integrate advanced memory systems into your projects. We’ll break down key concepts and practical techniques to ensure your agents remember what matters, adapt to new information, and behave in ways that truly resonate with users. What You’ll Learn: How agentic RAG extends traditional RAG by integrating memory management into agent workflows The essentials of memory management—how to design, build, and evolve an agent’s memory The core components and building blocks of effective AI memory RAG techniques and hybrid search approaches that combine lexical and vector methods for fast and accurate AI retrieval Practical strategies for implementing memory management using MongoDB’s flexible document model, robust indexing, and native vector search capabilities Register now and take the first step toward building AI agents that truly think ahead!

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Building RAG and Multi-Agent Systems With LangGraph and MongoDB Atlas

Oct 2, 2025 10 a.m. - 12 p.m. ET In this hands-on virtual workshop, you’ll learn how to design and build agentic retrieval-augmented generation (RAG) applications using LangGraph and MongoDB Atlas. We’ll start with the basics: building a simple RAG flow powered by Atlas Vector Search. You’ll create a vector index in MongoDB Atlas to enable semantic retrieval. As the workshop progresses, you’ll gradually add more tools and complexity to your agent, including: Conditional branching for dynamic workflows Persistent memory with the MongoDB Checkpointer, storing agent state in Atlas And more advanced multi-agent capabilities By the end of the session, you’ll know how to combine retrieval, reasoning and memory to build context-aware AI agents ready for real-world applications.

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Intro to MongoDB 3-Part Webinar series

Ready to elevate your database game? Register for the "Intro to MongoDB Series" and unlock the full potential of MongoDB’s modern data platform. This three-part webinar series is your essential guide to mastering MongoDB, from initial deployment to advanced querying and data modeling. Webinar #1: Intro to MongoDB Join Senior Developer Advocate Jesse Hall as he demystifies MongoDB and showcases the unparalleled advantages of the document data model. This session is your fast track to getting up and running with MongoDB Atlas. In this webinar, you’ll learn how to: Create your first cluster, add an IP address, and set up a database user. Load sample data using a Next.js e-commerce demo app. Connect to your database effortlessly. Watch Webinar #1 on-demand now Webinar #2: Intro to Data Modeling Ever wondered how to perfectly design your data for an application? This webinar tackles that frequently asked question head-on. We’ll explore the crucial considerations for effective data modeling, ensuring your application performs at its peak. You will learn: The key differences in data modeling between MongoDB and RDBMS. Essential considerations for modeling data specifically with MongoDB. How to supercharge the document model using powerful schema design patterns. Watch Webinar #2 on-demand now Webinar #3: Intro to Queries and Aggregation Unlock the true power of your data with the MongoDB Query API and the Aggregation Pipeline. As your data evolves in complexity, these high-precision tools become indispensable for intelligently retrieving, processing, and analyzing your rich JSON documents. We'll cover: Best practices you can leverage to avoid commonly observed anti-patterns Optimizations MongoDB performs during aggregation pipeline parsing. Tips and tricks to significantly improve your query performance. Watch Webinar #3 on-demand now

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The A to Z of Building AI Agents

Aug 28, 2025 12 - 2 p.m. ET 2025 is the year of AI agents, and you don’t want to miss out! In this two-hour workshop, you’ll learn the core concepts behind AI agents, like reasoning, tools, and memory. We’ll cover different agent architectures, and then you'll get hands-on building a MongoDB learning agent. You'll get all the resources you need, including Jupyter Notebook templates with pseudocode, to guide you through the practical exercises. Here's what you'll take away: Master the foundational concepts of AI agents, including reasoning, memory, and tools. Learn to build production-grade agentic applications using MongoDB. Develop controllable, reliable agentic workflows with LangGraph. Plus, when you complete the workshop, you'll earn a MongoDB skills badge to showcase your new expertise! In today’s rapidly evolving technological landscape, staying ahead means embracing the power of AI. Equip yourself with the essential knowledge and practical skills to build the next generation of intelligent applications. Register now by filling out the form to secure your spot! Next up Enrich Your Applications with AI: A Hands-On Guide to MongoDB Atlas Vector Search - July 31 Building RAG Application Using MongoDB - Aug 14

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People Who Ship Ep 2: From prototype to production

Hear from developers shipping production-grade AI applications built on MongoDB. This episode features Noam Rubin, a software engineer on Vanta’s AI platform team. Check out the recent episode of our “People Who Ship” series, where you'll hear from developers shipping production-grade AI applications with MongoDB. In this episode, you will hear from Noam Rubin, a software engineer on the AI platform team at Vanta. Noam will share invaluable insights into what it takes for his team to take gen AI features from prototype to production at Vanta. You will learn: The importance of experimentation What makes a good prototype How to integrate prototypes into real products The lifecycle of an AI feature What’s hard about building AI agents Register now for real-world insights from teams using AI to solve real business challenges. No hype—just actionable knowledge you can apply to your own AI projects.

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Intro to MongoDB 3-Part Webinar series

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Intro to Atlas Search Webinar HK

Atlas Search combines the power of Apache Lucene — the technology behind the world’s most popular search engines — with the efficiency, scale, and resilience of MongoDB Atlas to make it easier than ever to integrate fast, relevance-based search capabilities into all of your MongoDB applications. This webinar will show you how to search through different data types, including text, numbers, dates, and geoJSON and demonstrate a variety of search capabilities.

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Build Real AI Success: From Vectors to Value with MongoDB Atlas on Azure

Learn how leading enterprises are building intelligent, AI-driven applications using MongoDB Atlas and Microsoft Azure by watching our on-demand webinar. In this session, MongoDB and Microsoft experts explore how Atlas on Azure powers the next generation of AI with the use of RAG, machine learning, and agentic systems. Agentic AI is reshaping the future of application development, enabling systems to reason, act autonomously, and evolve in real time. But success with agentic systems requires a data foundation that is secure, scalable, and flexible enough to handle hybrid search, vector embeddings, and transactional workloads all in one. Watch “From Vectors to Value: Why MongoDB Atlas on Azure for Agentic Systems” to learn how leading enterprises are building intelligent, AI-driven applications using MongoDB Atlas and Microsoft Azure. Topics covered include: Building powerful agentic systems with Azure AI Foundry and MongoDB’s native support for vector search, hybrid search, and real-time reasoning Optimizing storage and compute with Atlas Vector Search Nodes for gen AI-specific workloads Deploying securely with deep Azure integration and industry-leading encryption capabilities Watch the session at your convenience and find out how MongoDB Atlas on Azure can take you from pilot to production faster, with the flexibility to adapt, the security to scale, and the intelligence to act.

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Adopting AI-Driven Transformation with MongoDB, Capgemini and AWS

Our recent webinar, “Adopting AI-Driven Transformation with MongoDB, AWS, and Capgemini,” is now available on demand. In this webinar, presenters from MongoDB, AWS, and Capgemini discuss an AI-powered integration enhances customer engagement, streamlines operations, and drives growth across industries. Watch this webinar to learn how to: Seamlessly integrate AI-driven capabilities into operations and core applications. Move beyond legacy limitations and unify data across disparate, siloed systems. Accelerate application development and shrink time-to-market with prebuilt accelerators for industry-specific domains. Use AWS services, like Amazon Lex and AWS Lambda to enable personalized, scalable conversational AI across channels.

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Session 1 - Data Modeling for MongoDB

In this workshop on data modeling to learn how MongoDB’s flexible document model compares to traditional relational models. Together, we’ll walk through the MongoDB data modeling methodology: Identify entities Quantify application workloads Model relationships with embedding or referencing We’ll apply this methodology through practical exercises to build the schema for a sample application—a library management system. Additionally, you will learn how to use MongoDB’s schema validation to ensure data integrity and consistency. At the end of this workshop, you will have the opportunity to earn the Relational to Document Model MongoDB skill badge that you can add to your LinkedIn profile.

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Session 2 - Schema Design Patterns and Antipatterns

In this hands-on data modeling workshop, we will explore common MongoDB schema design patterns and learn how to avoid antipatterns. You will get first-hand experience with the following patterns: Extended reference Computed Inheritance We’ll also cover common schema design antipatterns: Unbounded arrays Bloated documents You’ll learn not only how to identify these antipatterns but also why they can be detrimental to your database’s performance. At the end of this workshop, you’ll have the opportunity to earn the Schema Design Patterns and Antipatterns MongoDB skill badge that you can add to your LinkedIn profile.

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