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MongoDB at
Google Cloud Next

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.

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Gemini for Google Cloud and MongoDB

MongoDB Atlas and Gemini for Google Cloud empower you to build intelligent applications faster, more securely, and at any scale. Find out how by joining one of our sessions or stopping by our booth at Google Next.Learn more about MongoDB Atlas and Google Cloud
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Meet our experts

Visit us at booth #1623 for demos, lightning sessions, and a chat with the MongoDB team about our latest products and offerings within Google's AI suite.
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Skill badge station

Explore MongoDB Atlas and learn how to integrate it with various Google Cloud services. Join us at our booth for hands-on skill badging workshops April 22-24.
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Social hour

Unwind with MongoDB at our pre-Next party happy hour event after Day 2 of Google Cloud Next. We'll be serving up delicious food, drinks, and fun networking. Not joining Google Next? We still want to see you there! Space is limited, so RSVP today.
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Featured sessions

Don’t miss these must-see sessions with MongoDB thought leaders
Pete Johnson, Field CTO, AI

5 Embedding Decisions Every Cloud Developer Needs To Know

Join this discussion to 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.
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Frank Liu, Staff Product Manager

Context Engineering for Agents

Join this discussion to learn more about AI/ML innovations!
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Additional resources

Unlock the full potential of MongoDB by diving into our vibrant community and joining a local User Group—where learning, networking, and innovation come together. Learn more and join a local MongoDB User Group today.
Learn MoreJoin a local MongoDB User Group
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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.