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Firestore: Agentic AI, Search, and MongoDB Compatibility

Google Cloud Blog·Minh Nguyen, Patrick Costello·6 months ago
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In the era of AI agents, the distance between a big idea and a working application has never been shorter. As we lean more heavily on agents to help us build applications, a critical question remains: can your database infrastructure keep up?

With its virtually limitless scalability and high availability, Firestore , Google Cloud’s fully managed document database, is a great fit for emerging agentic applications. And at Google Cloud Next ‘26, we leveled up Firestore for AI-driven apps even further, with:

Tighter agentic AI integrations: New native integrations with AI Studio and third-party coding agents mean your LLMs and database now speak the same language.

Full-text search and expressive queries: Differentiated search capabilities and pipeline operations mean agents and users are able to find exactly what they need within your data.

Enhanced MongoDB compatibility: Now it’s easier than ever to bring existing MongoDB workloads into the Firestore ecosystem.

In this blog, we’ll take a closer look at our…

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