April 22–24, 2026 | Mandalay Bay, Las Vegas, NV
Join MongoDB at Google Cloud Next to meet the team, chat with an expert, hear about the latest updates, and have a drink with us! Learn how you can leverage MongoDB Atlas on Gemini for Google Cloud to build gen AI-powered apps. Stop by our booth to learn more.
Latency, accuracy, and retrieval costs are make-or-break metrics for AI applications on Google Cloud. In this session, Pete Johnson (MongoDB Field CTO, AI) explores the "Big 5" configuration decisions that define RAG success: chunking, similarity functions, dimensionality, quantization, and reranking. Learn how Voyage AI's cutting-edge models and MongoDB Atlas let you optimize these parameters while hosting data in any Google Cloud data center. Walk away with technical know-how to fine-tune your embedding strategy for maximum efficiency.
Context engineering is the iterative process of curating exactly the information an agent needs—no more, no less—inside its context window to guide what it does next. A well-engineered context window is often what enables agents to succeed in the wild. In this talk, we’ll cover common techniques and best practices for building effective contexts, and show how MongoDB provides all the components needed to deliver precisely the right information to your agents.
In this session you will learn about MongoDB Atlas’s crucial features for efficient database management and its seamless integration with Google Cloud services, empowering you with powerful tools for data analysis and application scaling through the start up program.
