Resources | MongoDB

April 22, 2025

Adopting AI-Driven Transformation with MongoDB, AWS, and Capgemini

Join us to explore how an AI-powered integration between MongoDB, AWS, and Capgemini’s Digital Cloud Platform enhances customer engagement, streamlines operations, and drives growth across industries. Join the 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 tools like Amazon Lex and AWS Lambda to enable personalized, scalable conversational AI across channels. This webinar is ideal for organizations looking to explore how AI, cloud technologies, and next-gen data management are reshaping industries, delivering agile, scalable, and personalized solutions that drive growth and enhance customer experiences. Speakers: Igor Alekseev from Amazon, Abhi Chakraborty from MongoDB, and Ejas Mohamed Ibrahim from Capgemini. Date & Time: Tuesday, April 22nd at 11 AM EST

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April 29, 2025

AI Database Comparison: MongoDB vs. PostgreSQL and Pgvector

Large language models (LLMs) are rapidly reshaping how we build AI solutions. The database technology you choose to power these applications can significantly impact the performance, scalability, and success of your AI application. In this webinar, Staff Developer Advocate Richmond Alake will compare two vector search solutions—PostgreSQL with pgvector and MongoDB Atlas Vector Search—and guide you through selecting the right option for your AI workloads. Whether you’re a data engineer, AI architect, or developer, you’ll understand how to think about and optimize critical metrics like latency and throughput to meet the demands of modern AI applications. What you’ll learn: How retrieval-augmented generation (RAG) boosts LLM-based applications by integrating external data in real time. How PostgreSQL/pgvector and MongoDB Atlas handle high-performance vector operations for tasks like semantic search and recommendation engines. How robust vector databases enable AI agents to reason, plan, and act autonomously, creating truly dynamic and interactive AI experiences. How a real-world application using a financial Q&A dataset illustrates practical deployment and optimization strategies. How key metrics like latency and throughput directly affect the success of LLM applications. Reserve your seat now to be part of this engaging and thought-provoking discussion. Even if you can’t attend, register anyway and we’ll send you a link to watch on-demand and at your convenience. Hope to see you there!

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April 10, 2025

Upgrade with Confidence : MongoDB Version 8.0

Learn how to leverage the latest enhancements, prepare for a version upgrade, and future-proof your versioning strategy. As an Atlas user experiencing the powerful capabilities of our managed service, it’s time to level up. Join MongoDB Senior Product Manager Ratika Gandhi and Senior Technical Curriculum Developer Peter Hubbard for a live webinar to learn how MongoDB 8.0 does more to optimize your database performance, security, and scalability. Key takeaways: You’ll walk away with a clear understanding of what’s new in MongoDB 8.0 and how it benefits your workload. You’ll receive step-by-step guidance on how to prepare for and execute a cluster version upgrade. You’ll get actionable tips for maintaining a streamlined, long-term versioning strategy that’s built into your annual plans. You can join at a time optimized for the APAC time zone: 9:00am IST | 11:30am SGT | 2:30pm AEDT | 4:30pm NZDT Register today to save your spot. We look forward to seeing you there!

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April 10, 2025

AI Database Comparison: MongoDB vs. PostgreSQL and Pgvector

12 P.M. ET Large language models (LLMs) are rapidly reshaping how we build AI solutions, from retrieval-augmented generation (RAG) to AI agents and agentic systems that continuously reason, reflect, and act on new data. The database technology you choose to power these applications can significantly impact the performance, scalability, and success of your AI application. In this webinar, Staff Developer Advocate Richmond Alake will compare two vector search solutions — PostgreSQL with pgvector and MongoDB Atlas Vector Search — and guide you through selecting the right option for your AI workloads. Whether you’re a data engineer, AI architect, or developer, you’ll walk away with actionable insights on how to think about and optimize critical metrics like latency and throughput to meet the demands of modern AI applications. What you’ll learn: How RAG boosts LLM-based applications by integrating external data in real time and how semantic search and RAG can be implemented using both databases. How PostgreSQL/pgvector and MongoDB Atlas handle high-performance vector operations crucial for tasks like semantic search and recommendation. How robust vector databases enable AI agents to reason, plan, and act autonomously, creating truly dynamic and interactive AI experiences. How a real-world application using a financial Q&A dataset illustrates practical deployment and optimization strategies. How key metrics like latency and throughput directly affect the success of LLM applications and how to apply proven tuning techniques.

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April 3, 2025

Building RAG Applications Using Multimodal Data

12 P.M. ET Your AI Search needs to be diverse, because the internet is filled with heterogeneous content spanning multiple formats and modalities. To build truly effective AI systems, you must move beyond text-only approaches. Join MongoDB Senior AI Developer Advocate Apoorva Joshi in a webinar exploring advanced strategies for processing multimodal data within RAG pipelines. Learn how to navigate the complex landscape of mixed-modality content to create more comprehensive AI search capabilities. You’ll also discover how MongoDB is revolutionizing AI applications by integrating state-of-the-art embedding models from Voyage AI. You’ll learn: Multimodal embedding techniques for diverse data formats (text, images, tables, and figures) How Voyage AI's multimodal embedding models differ from competitors and drive more accurate retrievals Using Vision Language Models (VLMs) as an alternative to traditional chunking approaches Comparative evaluation of Voyage multimodal models against other solutions for mixed-modality data Advanced strategies for exploring and retrieving from multimodal datasets Experience a live code walkthrough with real-world examples of multimodal RAG implementation. We'll demonstrate how MongoDB Atlas integrates with Voyage AI's embedding capabilities to handle the full spectrum of content types found in real-world applications. Don't miss this opportunity to enhance your multimodal AI development skills and see firsthand how MongoDB and Voyage AI are setting new standards for processing diverse data formats.

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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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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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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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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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