Resources | MongoDB

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 4, 2025

Intro to Vector Search

11 A.M. ET AI is reshaping how business applications work and what they can do, and vector search is a key enabling technology. In this webinar, MongoDB Lead Developer Advocate Pavel Duchovny will explore the transformative impact of AI and its profound impact on business solutions and individual productivity. Attend the webinar to learn: How AI and MongoDB Atlas Vector Search are enabling a new generation of smart, context-aware applications. Key use cases for generative pre-trained transformers (GPTs) and retrieval-augmented generation. The limitations of large language models and how to overcome them. The technology stack you’ll need to create smart apps. Don't miss out on this opportunity to gain valuable insights and practical knowledge.

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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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February 27, 2025

Scaling Vector Database Operations with MongoDB

12 P.M. ET The performance and scalability of your AI application depend on efficient vector storage and retrieval. In this webinar, we explore how MongoDB Atlas Vector Search optimizes these aspects through quantization—a technique that reduces the precision of vector embeddings (e.g., float32 to int8) to decrease storage costs and improve query performance while managing accuracy trade-offs. Vector embeddings are the foundation of AI-driven applications such as retrieval-augmented generation (RAG), semantic search, and agent-based workflows. However, as data volumes grow, the costs and complexities of storing and querying high-dimensional vectors increase. Join Staff Developer Advocate Richmond Alake to learn how quantization improves vector search efficiency. We’ll cover practical strategies for converting embeddings to lower-bit representations, balancing performance with accuracy. In a step-by-step tutorial, you'll see how to apply these optimizations to reduce both query latency and infrastructure costs. Key Takeaways: How quantization works to dramatically reduce the memory footprint of embeddings How MongoDB Atlas Vector Search integrates automatic quantization to efficiently manage millions of vector embeddings. Real-world metrics for retrieval latency, resource utilization, and accuracy across float32, int8, and binary embeddings. Combining binary quantization with a rescoring step yields near float32-level accuracy with a fraction of the computational overhead. Best practices and tips for balancing speed, cost, and precision—especially at the 1M+ embedding scale essential for RAG, semantic search, and recommendation systems.

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February 25, 2025

Build a JavaScript AI Agent With MongoDB and LangGraph.js

11 A.M. ET Ready to take your AI applications to the next level? Learn to build an AI agent using JavaScript. Join MongoDB Staff Developer Advocate Jesse Hall and LangChain Founding Software Engineer Jacob Lee on the 25th of February at 11am ET for an exclusive webinar that highlights the integration of LangGraph.js, LangChain’s cutting-edge JavaScript library, and MongoDB, the trusted developer data platform. Discover how to integrate capabilities into your Node.js projects that enable efficient information storage and retrieval. And see why this makes AI agents ideal for applications that demand context-aware conversations that enable data-driven decision-making. You’ll learn: How to set up a Node.js project integrating LangGraph.js and MongoDB. Techniques for generating synthetic data to populate a MongoDB database. Methods to build an AI agent capable of handling HR-related queries by leveraging LangGraph.js's features. Strategies for implementing conversation state persistence using MongoDB. Best practices for deploying and testing AI agents in a web environment. Register now and start building smarter with AI! By submitting this form, I agree to the Privacy Policy .

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February 27, 2025

Build AI-Ready Data Architectures with MongoDB and Hasura

11 A.M. ET Building modern digital ecosystems often comes with significant challenges including data sprawl and security risks — especially as the demand for faster code releases intensifies. In this technical deep-dive webinar, we’ll show you how MongoDB’s cutting-edge architecture, combined with Hasura’s powerful data access engine, provides a robust solution for enterprises dealing with these challenges. With production-ready APIs on top of MongoDB Atlas and external data sources available in seconds, this seamless integration allows your apps to fetch the data they need — quickly, securely, and accurately — regardless of its type or location. What you’ll learn: Configuration-Driven Development: Streamline your development process by replacing complex code with declarative metadata to significantly reduce risk and enhance governance. Instant Data Access Layer: Deploy production-ready APIs on MongoDB Atlas in seconds to accelerate time-to-market and eliminate long deployment cycles. Universal Data Access: Simplify your data architecture with a unified access layer across multiple Atlas instances to enable seamless data integration and collaboration across diverse sources. Enterprise-Grade Security: Strengthen data protection by combining MongoDB’s native security features with Hasura’s advanced role-based access control, attribute-based access control, and field-level entitlements to ensure secure and compliant data access at every level. Our Speakers: Adam Malone, Director, Worldwide Solutions Engineering, Hasura Sigfrido Narvaez, Executive Solutions Architect, MongoDB When: Thursday, February 27 at 11:00 A.M. ET.

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February 26, 2025

Better Digital Banking Experiences through AI-Driven Interactions Powered by MongoDB

AMER timezone: 9:00am-10:00am PST | 11:00am-12:00pm CST | 12:00pm-1:00pm EST Not the right time zone? We are also running this on 12 Feb in EMEA and 5 March in APAC . Interactive banking is revolutionizing the financial services industry by leveraging AI-driven technologies to create more intuitive, personalized, and efficient customer interactions. Whether you're already implementing AI solutions or just beginning your journey, this webinar will guide you in enhancing your digital banking experience using MongoDB. Join us on February 26th at 9am PST / 12pm EDT as Peyman Parsi, Senior Financial Services Industry Principal at MongoDB explores how MongoDB's capabilities can empower you to build future-proof applications and upgrade business applications with features shaping the industry. Gain valuable insights that will help you to: Enhance self-service banking: Discover how AI-driven advisors can streamline customer interactions, providing instant, context-aware solutions Understand how MongoDB's flexible data model works seamlessly with leading AI frameworks, allowing you to integrate and scale quickly and efficiently Leverage MongoDB Atlas Vector Search capabilities to enable the AI to find precise answers within dense documents, enhancing the self-service experience Build AI-powered apps with MongoDB to analyze customer trends, prevent fraud, and deliver smarter financial services like budgeting and conversational banking Don't miss your chance to dive deep into the future of digital banking and see how MongoDB can empower you to build next-gen solutions.

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March 5, 2025

Better Digital Banking Experiences through AI-Driven Interactions Powered by MongoDB

APAC timezone: 9:00am IST | 11:30am SGT | 2:30pm AEDT | 4:30 NZDT Not the right time zone? We are also running this on 12 Feb in EMEA and 26 Feb in AMER . Interactive banking is revolutionizing the financial services industry by leveraging AI-driven technologies to create more intuitive, personalized, and efficient customer interactions. Whether you're already implementing AI solutions or just beginning your journey, this webinar will guide you in enhancing your digital banking experience using MongoDB. Join us on March 5th at 11:30am SGT as Wei You Pan, Financial Services Industry Principal at MongoDB explores how MongoDB's capabilities can empower you to build future-proof applications and upgrade business applications with features shaping the industry. Gain valuable insights that will help you to: Enhance self-service banking: Discover how AI-driven advisors can streamline customer interactions, providing instant, context-aware solutions Understand how MongoDB's flexible data model works seamlessly with leading AI frameworks, allowing you to integrate and scale quickly and efficiently Leverage MongoDB Atlas Vector Search capabilities to enable the AI to find precise answers within dense documents, enhancing the self-service experience Build AI-powered apps with MongoDB to analyze customer trends, prevent fraud, and deliver smarter financial services like budgeting and conversational banking Don't miss your chance to dive deep into the future of digital banking and see how MongoDB can empower you to build next-gen solutions.

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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 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, October 23, 2024 10 A.M. GMT on Thursday, November 7, 2024 11 A.M. ET on Wednesday, December 4, 2024 11 A.M. ET on Wednesday, January 29, 2025 11 A.M. ET on Wednesday, February 26, 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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