an anthemic opener showing real people using A.I. to do amazing things. This can be everyday people Sweetness Crunchiness Spiciness Apple 0.8 0.6 0.1 Banana 0.9 0.2 0.1 Ice Cream 0.95 0.3 0.05 Jalapeno 0.1 0.2 0.9 Carrot 0.4 0.8 0.1 Potato 0.4 0.3 0.1 Finding near vector values Dimension 1: Sweetness Dimension 2: Crunchiness Dimension 3: Spiciness RAG
on multiple fields in a single query. Multi-fields range conditions Firestore db.collection(“car”) .whereLessThan(“price”, 40) .whereGreaterThan(“rating”, 3)
the queries in GraphQL Declarative data model query GetUsers @auth(level: USER) { users { uid first last } } type User @table(key: ”uid”) { uid: String! first: String! last: String! email: String! } Firebase Data Connect
import davideast.ListUsersQuery val connector = DemoConnector.instance val response = connector.listUsers.execute() val firstUser = response.data.users.first() val firstName = firstUser.first Type-safe libraries Client code can be generated for multiple platforms in a type-safe manner.
sync from backend to front. Model changes type User @table(key: ”uid”) { uid: String! first: String! last: String! firstName: String! lastName: String! email: String! } val firstUser = response.data.users.first() val firstName = firstUser.first val firstName = firstUser.firstName
GitHub repository using the Firebase console or CLI. When it's time to deploy, push your changes to GitHub and watch App Hosting roll them out to production. Roll out to production with a simple 'git push' Firebase App Hosting
Build, served on Cloud Run with automatic scaling, and cached in Cloud CDN. Integrated services like Cloud Secret Manager keep your API keys safe. Firebase App Hosting App Hosting is powered by Google Cloud