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title: What you missed from Firebase at Cloud Next ‘24! | daily.dev
description: Firebase recapped its presence at Google Cloud Next '24, highlighting new product updates including vector search support for Firestore (now generally...
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og:title: What you missed from Firebase at Cloud Next ‘24! | daily.dev
og:description: Firebase recapped its presence at Google Cloud Next '24, highlighting new product updates including vector search support for Firestore (now generally...
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# What you missed from Firebase at Cloud Next ‘24!

**[Firebase](https://daily.dev/sources/firebase-blog)** · 5 min read · 0 upvotes · 0 comments

## Summary

Firebase recapped its presence at Google Cloud Next '24, highlighting new product updates including vector search support for Firestore (now generally available after a recent preview), a Firestore extension that auto-converts data into vector embeddings, a private preview of new Vertex AI SDKs for Firebase (Kotlin, Swift, Dart, JavaScript) enabling direct access to Gemini generative AI models from mobile and web apps, and a public preview of Gemini in Firebase for AI-assisted development help. It also points to recorded conference sessions covering Flutter+Firebase+Gemini app building, faster mobile development with Firebase, and generative AI for developer productivity.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://firebase.blog/posts/2024/04/next-announcements>

## Questions this post answers

### Does Firebase support vector search in Firestore?

Yes, vector search support for Firestore is available after launching as a preview for Firestore vector similarity search. It lets developers store data as vector embeddings for semantic and natural language search across Firestore application data, and integrates with orchestration frameworks like LangChain and LlamaIndex, as well as a dedicated extension that auto-generates embeddings on document writes.

_Developers adding semantic search to their app's data layer can track Firebase and Firestore updates on daily.dev._

### How can I use Gemini generative AI models directly in a mobile or web app without a backend server?

New Vertex AI SDKs for Firebase, in private preview, support Kotlin, Swift, Dart, and JavaScript and let mobile and web apps call Gemini API models directly from the client rather than server-side. They are built for client environments, with security protections against unauthorized clients and integration with other Firebase services; sign-up for the waitlist is required to access them.

_Teams weighing client-side versus server-side generative AI integration follow Firebase SDK updates on daily.dev._

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---

Tags: [#firebase](https://daily.dev/tags/firebase), [#google-gemini](https://daily.dev/tags/google-gemini), [#vector-search](https://daily.dev/tags/vector-search), [#vertex-ai](https://daily.dev/tags/vertex-ai), [#firestore](https://daily.dev/tags/firestore)

[View this post on daily.dev](https://daily.dev/posts/what-you-missed-from-firebase-at-cloud-next-24--269g7szvd)

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