System Architecture and Design

Presenters Ken Hong Source MongoDB.local San Francisco 2026 Beyond Keywords: Unlocking Intelligent Video Search with Voyage Multimodal 3.5 🚀 Ever felt frustrated trying to find that one specific video clip amidst a sea of content? Traditional search often relies on clunky metadata, leaving us digging through irrelevant results. But what if search could understand the actual content of your videos, just like you do? That’s the exciting promise of multimodal AI, and the recent dive into Voyage Multimodal 3.5 at a recent tech conference blew us away with its potential! 🤯 ...

Presenters MongoDB Team Source MongoDB.local San Francisco 2026 MongoDB: Supercharging Developer Innovation in the Age of AI 🚀💡 The tech landscape is evolving at lightning speed, and the driving force behind this acceleration? Artificial Intelligence. AI isn’t just a buzzword anymore; it’s fundamentally changing how quickly software needs to adapt and innovate. But here’s the critical question: can our software development foundation keep up? According to the insights from a recent tech conference, the answer is a resounding yes, thanks to the incredible advancements in MongoDB’s developer toolkit. ...

Presenters Davin Min Source MongoDB.local San Francisco 2026 Unleashing the Power of Agentic AI: Your Guide to Building Smarter Applications with MongoDB Atlas and AWS 🚀 Ever wished your AI could do more than just answer questions? Imagine an AI that doesn’t just tell you how to update your shipping address, but actually does it for you, even finding missing details along the way. That’s the promise of agentic generative AI, and a recent deep dive into building these sophisticated applications on AWS using MongoDB Atlas has us incredibly excited! 🤩 ...

Presenters MongoDB Team Source MongoDB.local San Francisco 2026 MongoDB’s Automated Embedding: Revolutionizing Search for the AI Era 🚀 The way we search for information is no longer just about typing in keywords. We’re moving towards a future where search understands intent, delivering richer, more relevant results that power everything from smarter e-commerce experiences to the memory of AI agents and the intelligence behind Retrieval Augmented Generation (RAG) for Large Language Models (LLMs). But let’s be honest, building these cutting-edge AI-powered search solutions has been a headache. We’re talking about a steep learning curve, tricky integrations with external embedding models, keeping data and its vector representations in sync, and the production-scale chaos of managing task queues, retries, and monitoring. ...

Presenters Anurag Kadasne Xiaochen Wu Source MongoDB.local San Francisco 2026 From Hobby Project to Production Powerhouse: Building Performant AI Apps with MongoDB Atlas 🚀 Ever dreamed of launching a cool app, maybe even one powered by AI, without breaking the bank or getting bogged down in complex infrastructure? We’ve all been there, staring at our screens, wondering how to go from a simple idea to a robust, production-ready system. Well, get ready, because we’re diving deep into how MongoDB Atlas can be your secret weapon in this journey! 💡 ...