What you missed from Firebase at Cloud Next ‘24!

At Cloud Next ’24, Firebase highlighted new tools and sessions focused on building AI-enabled mobile and web applications with Google Cloud. Key product updates included Firestore vector search support and a Vector Search extension that can automatically create embeddings from document writes, enabling semantic search, recommendations, and chatbot experiences using supported SDKs and frameworks such as LangChain and LlamaIndex. Firebase also announced private-preview Vertex AI SDKs for Kotlin, Swift, Dart, and JavaScript, allowing client applications to access Gemini models with mobile-focused security and Firebase integrations, while Gemini in Firebase entered public preview to provide developers with assistance for Firebase questions, code generation, and troubleshooting. Recorded sessions cover building applications with Flutter, Firebase, and Gemini, using Firebase backend services to accelerate mobile development, and applying generative AI to improve productivity across the software development lifecycle.

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