EP. 270 Cisco’s Approach to Developing and Governing AI Agents
In this live episode we’ll explore how Cisco harnesses the power of MongoDB Atlas Vector Search to enable cutting-edge AI capabilities across various projects. We’ll dive into its pivotal role in solutions like Retrieval-Augmented Generation (RAG) and the Agentic Framework, demonstrating how it serves as the backbone for efficient and scalable data retrieval. Learn how MongoDB Atlas Vector Search empowers Cisco to bridge the gap between unstructured data and intelligent AI-driven insights, fueling innovation across various use cases.
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EP. 269 The Secret to Trustworthy AI: "Fuzzing" Your Models with Haize Labs' Co-founder
How do you test a GenAI application that's constantly changing? In this episode, Shane talks to Leonard Tang, co-founder of Haize Labs, about why traditional testing fails for LLMs and how to adopt a new evaluation strategy. Leonard introduces "fuzzing"—a powerful technique for discovering edge cases, improving reliability, and building AI you can actually trust. He also gives a live demo of the Haize Labs platform, so be sure to watch the video version on YouTube or Spotify to see it in action.
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EP. 268 How to turn chaos into opportunity
In this event, Shane McAllister will cover how Albert Podusenko got introduced to MongoDB and in 2016 decided to start a company using MongoDB as primary database behind their server, handling everything: From model states and real-time event generation to maintaining episodes and storing historical data.In this show we'll talk about:How to make a product out of research.Walk through it's journey that culminated with the creation of Lazy Dynamics.Show how they utilize MongoDB with demos and examples.
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EP. 267 Full Stack AI: Building with MongoDB, Deno, and Next.js
Is building the backend for your AI application slowing you down? In this episode of the MongoDB Podcast, host Jesse Hall sits down with Srikar and Jimmy, the creators of Daemo AI, a revolutionary tool designed to eliminate the tedious "plumbing" of backend development.Discover how Daemo AI is building upon deprecated MongoDB features like Realm App Services, creating a more powerful and flexible solution for developers. We dive deep into their tech stack, including Next.js, Deno, and Express , and explore why they chose MongoDB for its speed and flexibility in AI applications. Plus, you'll see a live demo of Daemo's new SDK and CLI , learn how it can generate data migrations and dummy data on the fly , and get a real answer to the big question: Is AI going to take your job? In This Episode, You Will Learn: What Daemo AI is and how it accelerates development. * How to build AI agents and integrate them with frameworks like LangChain. Why MongoDB is the ideal database for rapid-growth startups and AI. The future of developer jobs in the age of AI.
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EP. 266 How MongoDB Scales Atlas & Reduces Cost
🔴 LIVE: How MongoDB Atlas Is Redefining Elasticity for Cost-Optimized PerformanceWelcome to this special episode where we explore the cutting-edge elasticity features in MongoDB Atlas—designed to help organizations optimize costs without sacrificing performance.Whether you're a software engineer, DevOps lead, or IT decision-maker, this conversation will show you how to scale smarter, faster, and more reliably.
The MongoDB Podcast features guest interviews including developers, startups, and founders with MongoDB Principal Developer Advocate Michael Lynn. Learn about new and emerging technology, how to use the various MongoDB products and best practices, how organizations are using MongoDB, and what lead them to choose MongoDB over other databases.
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