How to Build Production-Ready AI Agents: MongoDB Atlas + Google Vertex AI

In this episode, Michael Lynn (MongoDB) and Yang Li (Google Cloud) break down the architectural blueprint for building intelligent, production-grade applications. Move beyond simple RAG (Retrieval-Augmented Generation) and explore the world of AI Agents.

What you’ll learn:

• The Google Cloud AI stack: Vertex AI, Agent Space, and Model Garden.

  
  

• Deep-dive integration: Connecting MongoDB Atlas with BigQuery and Dataflow.

  
  

• Real-world Demo: Building a grocery store AI assistant using Gemini and Vector Search.

  
  

• Startup Perks: How to access up to $350k in Google Cloud credits and $10k in MongoDB credits.