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Build AI-powered mobile and web apps and features with the Gemini and Imagen models using Firebase AI Logic
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Build full-stack AI-powered applications using this open-source framework

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Overview
Emulator Suite
Authentication
App Check
- Introduction
- Get started
- Default providers
- Custom providers
- Debug & test providers
- Monitor request metrics
- Standard Google services
- Cloud Functions for Firebase
- Enable enforcement
- Standard Google services
- Cloud Functions for Firebase
- Protect custom resources
- Send tokens from the client
- Verify tokens on the backend
Data Connect
- Introduction
- Pricing and billing
- Get started
- Get started (local development)
- Design schemas and operations
- Design Data Connect schemas
- Implement Data Connect queries
- Implement Data Connect mutations
- Secure operations with authorization
- Develop and test with Data Connect
- Seed test data and perform bulk operations
- Generate Web SDKs
- Generate Android SDKs
- Generate iOS SDKs
- Generate Flutter SDKs
- Use the Data Connect emulator for CI/CD
- Manage Data Connect projects
- Manage schemas and connectors
- Manage services and databases
- Run privileged operations with the Firebase Admin SDK
- Data Connect solutions
- Use AI assistance for schemas, queries and mutations
- Perform vector similarity search
- Perform full-text search
- GraphQL language reference guides
- Directives reference
- Queries reference
- Mutations reference
- Objects reference
- Input objects reference
- Scalars reference
- Enums reference
- Additional reference guides
- CLI reference
- Configuration and security reference
- Common Expression Language (CEL) reference
- Cloud Audit Logging reference
Cloud Firestore
- Introduction
- Cloud Firestore editions
- Standard edition
- Discover
  - Introduction
- Understand Cloud Firestore
- Get started
- Manage databases
- Add and manage data
- Read data
  - Get data
  - Get real-time updates
  - Perform simple and compound queries
  - Order and limit data
  - Query with range & inequality filters on multiple fields
    Overview
    Optimize your queries
    Summarize data with aggregation queries
    Paginate data with query cursors
    Access data offline
    Search with vector embeddings
    Manage indexes
- Secure and validate data
- Solutions
  - Overview
  - Solutions using Firebase Extensions
  - Integrate with BigQuery
  - Implement an AI-driven chatbot
  - Enrich handling of text
  - Enhance value of media
  - Solutions using guided custom implementations
  - Develop generative AI features
  - Firestore Lite Web SDK
  - Write-time aggregations
  - Distributed counters
  - Full-text search
  - Build presence
  - Secure data access for users and groups
  - Secure data with customer-managed encryption keys (CMEK)
    About CMEK
    Use CMEK
  - Delete data with a callable Cloud Function
  - Schedule data exports
  - Sharded timestamps
  - Geo queries
  - Serve bundled Firestore content from a CDN
- Usage, limits, and pricing
- Techniques and best practices
- Cloud Firestore integrations
- API & SDK reference
- Samples
- Enterprise edition
- Discover
  - MongoDB compatibility overview
- Get started
  - Create a Firestore with MongoDB compatibility database and connect to it
  - Supported MongoDB data types, drivers, and features
    Supported data types and drivers
    Supported features: 8.0
    Supported features: 7.0
    Supported features: 6.0
    Supported features: 5.0
    Supported features: 4.0
    Supported features: 3.6
- Manage databases
  - Create and manage databases
- Connect to a database
  - Authenticate and connect to a database
- Manage data
  - Bulk data delete
  - Import and export data
- Migrate
  - Migrate to Firestore with MongoDB compatibility
  - Best practices for bulk data loading
- Develop
  - Behavior differences
  - Indexes
    Indexes overview
    Manage indexes
  - Optimize query execution
    Identify queries to optimize
    Analyze query execution with Query Explain
    Optimize query execution
  - Manage data retention with TTL policies
  - Understand reads and writes at scale
- Secure data
  - Identity and Access Management (IAM)
  - VPC Service Controls
  - Server-side encryption
  - Secure data with customer-managed encryption keys (CMEK)
    About CMEK
    Use CMEK
- Usage, limits, and pricing
- Monitor and troubleshoot
- Backup and restore
- Backups and point-in-time recovery
  - Disaster recovery planning
  - Scheduled backups
  - Create a backup schedule and restore data
  - Perform an in-place restore
  - Point-in-time recovery (PITR)
  - PITR overview
  - Work with PITR
Realtime Database
Storage
Security Rules
- Introduction
- Get started
- Understand Security Rules
- Write Security Rules
- Test Security Rules
- Manage and deploy Security Rules
App Hosting
Hosting
Cloud Functions
Extensions
- Introduction
- Use case examples
- Use an extension in your project
- Overview
- Install an extension
- Manage installed extensions
- Permissions granted to an extension
- Manage configurations with manifests
- Extensions by Firebase
- Trigger Email
- Delete User Data
  - Get Started
- Firestore Bundle Builder
  - Get Started
  - Reference
- Resize Images
- Export Collections to BigQuery
- Translate Text
- Distributed Counter
- Shorten URLs
- Limit Child Nodes
- Build & publish extensions
- Overview
- Get started
- Write functions
- Set up parameters
- Handle lifecycle events
- Add user hooks
- Set up appropriate access
- Create user documentation
- Register as a publisher
- Publish an extension
- Reference for extension.yaml
- Firebase Extensions Publisher Agreement
Firebase ML
- Introduction
- Codelabs
- Custom Models
- Use a custom model
- Deploy & manage custom models
- Migrate from the legacy API
  - iOS+
  - Android
- Use Cloud Vision APIs
- Recognize text
- Label images
- Recognize landmarks
- Advanced Topics
- A/B test two versions of a model
  - iOS+
  - Android
- Prepare for Production
- Protect your Cloud credentials
  - iOS+
  - Android
- (Deprecated) Cloud Vision & Cloud AutoML Vision Edge
- Deprecated Vision SDKs
  - Recognize text
    iOS+
    Android
  - Label images
    iOS+
    Android
  - Recognize landmarks
    iOS+
    Android
- Deprecated Cloud AutoML Vision Edge
  - Overview
  - Train image labeling models
  - Label images with your models
    iOS+
    Android
  - Train object detection models
  - Detect objects with your models
    iOS+
    Android
  - Migrate datasets
- Legacy Documentation
- ML Kit for Firebase
  - Introduction
  - Vision
  - Recognize text
    Overview
    iOS
    Android
  - Detect faces
    Overview
    Concepts
    iOS
    Android
  - Scan barcodes
    Overview
    iOS
    Android
  - Label images
    Overview
    iOS
    Android
  - Detect and track objects
    Overview
    iOS
    Android
  - Recognize landmarks
    Overview
    iOS
    Android
  - AutoML Vision Edge
  - Overview
  - Train image labeling models
  - Label images with your models
    iOS
    Android
  - Migrate datasets
  - Natural Language
  - Identify the language of text
    Overview
    iOS
    Android
  - Translate text
    Overview
    iOS
    Android
    Usage guidelines
  - Generate smart replies
    Overview
    iOS
    Android
  - Custom Models
  - Use a custom model
    Overview
    iOS
    Android
  - Manage hosted custom models
  - Use a custom TensorFlow Lite build
    iOS
    Android
  - Advanced Topics
  - A/B test two versions of a model
    iOS
    Android
  - Prepare for Production
  - Reduce app package size
    Android
  - Protect your Cloud credentials
    iOS
    Android
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