Resources | MongoDB

March 27, 2025

AI Database Comparison: MongoDB Atlas vs. Elasticsearch

12 P.M. ET Large language models (LLMs) are transforming how AI applications are built, from retrieval-augmented generation (RAG) to agentic systems that dynamically reason, learn, and adapt. And the AI ecosystem offers an array of technologies developers can leverage to build intelligent solutions. One of the most critical elements is the database. In generative AI applications, the database directly impacts response latency, application performance, and output accuracy. This webinar compares two NoSQL databases, MongoDB Atlas and Elasticsearch. We’ll implement semantic search, laying the groundwork for robust RAG pipelines, and compare how each solution compares in key metrics like latency and queries per second. Join MongoDB Staff Developer Advocate Richmond Alake for this important webinar where you'll learn: Common search patterns in AI Workloads and performance guidance. Why the database matters in generative AI and how it influences performance, speed, and accuracy. How MongoDB Atlas Vector Search and Elasticsearch handle semantic search to power RAG solutions. How to implement RAG pipelines that integrate real-time data enabling more dynamic LLM-driven applications. How MongoDB Atlas and Elasticsearch compare in latency, throughput, and scalability for AI workloads. Whether you’re building AI chatbots, recommendation engines, or advanced agentic systems, understanding how your database underpins LLM-enabled applications is essential. By the end of this webinar, you’ll be equipped to make informed decisions on how to architect your AI solutions using MongoDB Atlas for vector search and beyond.

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Intro to Atlas Search

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. Join us for our Intro to Atlas Search webinar where we’ll show you how to search through different data types, including text, numbers, dates, and geoJSON and demonstrate a variety of search capabilities. Choose from any of the following dates: 11 A.M. ET on Wednesday, March 26, 2025 11 A.M. ET on Wednesday, April 23, 2025 Don’t miss this opportunity to learn about Atlas Search and get your questions answered live. We look forward to seeing you there! Dates are subject to change

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March 20, 2025

Intro to AI Agents and Agentic Systems

12 P.M. ET AI agents and agentic systems are revolutionizing the way AI applications interact with data, tools, and the Internet. In this webinar, you'll gain a foundational understanding of AI agents, their key characteristics, and how they function within agentic systems to execute complex tasks autonomously. Staff Developer Advocate, Richmond Alake will walk through the core components of agentic systems demonstrating how multiple AI agents can collaborate, leverage external tools, and interact with databases for dynamic decision making. Through hands-on examples, you’ll learn how to: Build AI Agents powered by LLMs. Develop agentic systems with multiple AI agents orchestrating workflows. Enable AI agents to interact with databases, including querying MongoDB. Connect AI agents to external tools and the Internet for real-time information retrieval. Optimize agentic systems for scalability, reliability, and performance. By the end of this session, you’ll have a clear understanding of the current state of AI agents, a feel for where AI applications are heading, and the skills to build powerful, scalable agentic systems with MongoDB. Whether you're a developer, engineer, or AI enthusiast, this webinar will equip you with the knowledge to start building AI-driven applications today.

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March 27, 2025

Intro to Data Modeling

A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?”In this webinar on Thursday, March 27th, we'll examine the most important considerations when making decisions about your data model, so that you can create the model that best fits your application.Choose from any of the following time slot: 11:00am SGT | 2:00pm AEDT | 4:00pm NZDT 11:00am IST | 1:30pm SGT | 2:30pm KST | 4:30 AEDT You will learn: The differences between data modeling in MongoDB vs. relational databases The key considerations for data modeling with MongoDB How to further enhance the power of the document model with schema design patterns Register today to save your spot. We look forward to seeing you there!

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Power-Up Your Queries: MongoDB's Aggregation Framework

In this webinar, we'll show you how MongoDB's aggregation framework allows you to write simple, and then increasingly complex, queries and aggregations against your datasets, helping you group, join, limit, skip, and bucket across documents in your collections. We'll introduce some of the ideas around data modeling patterns and indexing that will help you get the most out of storing and querying your data in MongoDB, and you'll learn powerful tools for writing and testing your queries. If you're already working with MongoDB, and are familiar with the document model, CRUD and query operations, and you're looking to build more complex queries to aggregate and analyze data, then this is the perfect webinar for you. Choose from any of the following dates: 11 A.M. ET on Wednesday, March 19, 2025 11 A.M. ET on Wednesday, April 16, 2025 Don’t miss this opportunity to power-up your queries and get your questions answered. We look forward to seeing you there! Dates are subject to change

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March 12, 2025

Intro to Data Modeling

A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?” Choose from any of the following dates: 11 A.M. ET on Wednesday, March 12, 2025 11 A.M. ET on Wednesday, April 9, 2025 In this webinar we will examine the most important considerations when making decisions about your data model, so that you can create the model that best fits your application. You will learn: The differences between data modeling in MongoDB vs. relational databases The key considerations for data modeling with MongoDB How to further enhance the power of the document model with schema design patterns Register today to save your spot. We look forward to seeing you there! Dates are subject to change

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March 13, 2025

Expanding LLM Applications: From RAG to Agentic Systems

11 A.M. ET Are you ready to advance your AI application development skills? Join us for an exciting webinar that bridges the gap between large language model (LLM) applications, Retrieval-Augmented Generation (RAG), and the exciting domain of agentic systems. In this comprehensive session, Staff Developer Advocate Richmond Alake will explore the evolution of LLM applications, starting with RAG and progressing to developing sophisticated AI agents that leverage RAG as tools. Whether you're an experienced developer or just starting your journey in AI, this webinar offers valuable insights and practical skills to enhance your capabilities. You’ll learn how to: Leverage your foundational knowledge of Retrieval Augmented Generation (RAG) architecture to develop cutting-edge Large Language Model (LLM) applications. Create tools for AI agents that retrieve knowledge from vector databases. Understand the core concepts of Agents and Agentic Systems with MongoDB as the Agent's memory provider. Gain hands-on experience implementing a simple agentic system using popular frameworks and tools.

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Intro to MongoDB

Ready to begin your MongoDB Atlas adventures but not sure where to start? Join our Intro to MongoDB webinar to learn more! Choose from any of the following dates: 11 A.M. ET on Wednesday, March 5, 2025 11 A.M. ET on Wednesday, April 2, 2025 11 A.M. ET on Wednesday, April 30, 2025 Senior Developer Advocate Jesse Hall will showcase the unique advantages of the document data model and show you how to deploy an Atlas cluster. Jesse will present a demo of how to get started with MongoDB Atlas and walk you through 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 the database Register today to save your spot. We look forward to seeing you there! Dates are subject to change

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March 25, 2025

Application Modernisation: From Relational to NoSQL with Relational Migrator

We've heard time and time again that applications running on legacy relational databases cause technical and business pain, but there is a fear that modernizing them is too difficult and risky. MongoDB’s Relational Migrator significantly reduces the effort and risk of moving to a modern data architecture. In addition to data migration, it helps you model your schemas efficiently in MongoDB, update application code, and even convert existing code with the help of AI. The webinar will be presented by Cathlon Lau, Advisory Solutions Architect at MongoDB, who has decades of experience working with RDBMS, PostgreSQL, and document databases like MongoDB. Register now and find out why it’s essential to consider database platforms specifically designed to handle large, complex data structures to effectively support modern AI applications and learn how MongoDB’s Relational Migrator can significantly reduce the effort and risk of transitioning to a modern data architecture. Speaker: Cathlon Lau, Advisory Solutions Architect, MongoDB Date: Mar 25, 2025, 10am - 11am HKT Language: Cantonese

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Building Gen AI-Enriched Apps with AWS & MongoDB Atlas

Join us for an exclusive webinar exploring the future of AI-driven applications. Learn how MongoDB, in collaboration with Amazon Web Services (AWS), empowers you to quickly and securely build gen AI-powered applications. And discover how to harness the full potential of gen AI by integrating MongoDB with Amazon SageMaker Canvas and Amazon Bedrock. You’ll learn from experts, and you’ll view practical demonstrations showcasing the integration of MongoDB Atlas and Amazon Bedrock. Here's what you'll Learn: How MongoDB's flexible data model enables agile development and iteration. How MongoDB Atlas Vector Search streamlines the machine learning workflow — from data preparation to deployment. How to harness the power of Amazon Bedrock to build scalable, enterprise-ready AI solutions. How other organizations are using MongoDB and AWS to create next-gen AI-powered applications. Join us across the globe at one of these times: May 21, 2024 at 10 A.M. GMT/3:30 P.M. IST: On-Demand May 22, 2024 at 12 P.M. ET: On-Demand June 5, 2024 at 9 A.M SGT / 11 A.M AEST: On-Demand Seize this opportunity to unlock the potential of gen AI with MongoDB and AWS. Register now to secure your spot and embark on a journey towards AI-driven innovation. Space is limited, so reserve your spot today!

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May 14, 2024

MongoDB Community Edition Masterclass

11AM (AEST) / 13.00 (NZST) Join us for a webinar tailored specifically for MongoDB Community Edition users, hosted by Mark Kirpichnikov, Solutions Architect at MongoDB. Discover AI tools, best practices, and optimisation techniques to maximise the performance and efficiency of your open-source MongoDB instance. In this webinar, we will: Share valuable insights for optimising your Community Edition deployment Provide actionable tips and techniques to fine-tune your MongoDB setup, improve query performance, and overall efficiency Explore how MongoDB Atlas simplifies database management Don’t miss this opportunity to hear from the experts and get your questions answered live. We look forward to seeing you there!

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