Resources | MongoDB

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

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. Watch this webinar where 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.

Watch presentation →

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

Watch webinar →

Build AI-Ready Data Architectures with MongoDB and Hasura

“This is where we'll start to gain an appreciation for how Promptql is able to build with 100% accuracy. It's the supergraph layer. And this is the powerful thing that creates these experiences, and really the only reason that something like Promptql is able to be 100% accurate.” “We now have a reliable way to query the backend data source. We're not feeding things into AI—we're taking information and querying, using optimized queries.” “And this is where the benefit of taking an agentic approach comes in. By using a python runtime in collaboration with an LLM of your choice, you're starting to use a best of breed approach in exactly the same way that a human would run some of these queries.” — Adam Malone, Director of Worldwide Solutions Engineering for Hasura If you missed our webinar about building AI-Ready data architectures with Hasura and MongoDB—or just want to catch up on some of the key moments—the session is now available on-demand. Adam Malone, Director of Worldwide Solutions Engineering for Hasura and Sigfrido Narvaez, Executive Solutions Architect for MongoDB shared many key insights for developers to consider when designing AI-ready Architectures. Watch it now for a deep dive into AI-ready infrastructure followed by an equally technical question-and-answer period. Watch it on-demand now.

Watch presentation →

Scaling Vector Database Operations with MongoDB and Voyage AI

The news is out! Voyage AI, a leader in embedding and reranking models that make AI-powered search and retrieval more accurate, has now joined MongoDB. In our recent webinar, MongoDB’s Frank Liu, Staff Product Manager and Richmond Alake, Staff Developer Advocate break down the powerful new AI capabilities that are now easily accessible to developers everywhere. A few highlights from the discussion include: *Why these embedding models are so important is if you have a very really powerful one—one that’s able to understand semantic relationships between texts and one that is able to pick apart a lot of the nuances in your inputs—then you're going to be able to have a really powerful search and retrieval system.* — Frank Liu, Staff Product Manager, MongoDB *What does this mean for you as a developer? Well, I build these AI applications almost every day. So it really means less code. If you have your data layer that can handle the embedding generation and also the re-ranking. It's just less code—and that's good—but also it really means that you can have a reliable retrieval process. And Voyage AI embedding models are the state of the art, the best in class across any way you want to cut them, including domain specific models.* — Richmond Alake, Staff Developer Advocate, MongoDB Watch it on-demand now for a deep dive into reranking and vector embeddings for building AI-powered user experiences followed by a technical question-and-answer period. We hope to see you at our next webinar!

Watch presentation →

Build a JavaScript AI Agent With MongoDB And LangGraph.js

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 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. Watch today and start building smarter with AI!

Watch presentation →

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

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. Watch this webinar where Luis Pazmino Diaz, 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.

Watch presentation →

AI Database Comparison: MongoDB vs. PostgreSQL and Pgvector

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.

Watch presentation →

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

Watch webinar →

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

Watch webinar →

Payments Modernization at Scale with MongoDB and Temporal

Modernization is the clear path forward to future-proof systems and efficiently manage the scalability, performance, and complexity inherent in payment processing. However, it can be challenging, and organizations must secure and protect themselves against potential pitfalls. Our proposed solution is a payment technology stack that combines the power of MongoDB for database management and Temporal as the durable execution platform, two developer-focused platforms that work together to enhance developer productivity in this dynamic landscape.

View white paper →

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

Watch webinar →

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

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. Watch this webinar where Luis Pazmino Diaz, 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.

Watch presentation →