How to Build Production-Ready AI Agents: MongoDB Atlas + Google Vertex AI Podcast Por  arte de portada

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

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

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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.

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