FTS search AI SQLite
Generated on 10/3/2024
1 search
To implement Full-Text Search (FTS) with AI capabilities in SQLite, you can leverage the new features introduced in Core Spotlight, as discussed in the session "Support semantic search with Core Spotlight" at WWDC 2024. Core Spotlight now supports semantic search, allowing users to search for content in your app using terms that are similar in meaning, thanks to query understanding models.
Here are some key points from the session:
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Semantic Search: Core Spotlight now supports semantic search, which means users can search for content in your app using terms that are similar in meaning, not just exact matches. This is achieved through Spotlight's query understanding models.
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Indexing Content: To build a great search experience, you need to donate searchable content to Spotlight. This involves creating a
CSSearchableItemwith a unique identifier and an attribute set that represents the content you want to be searchable. -
Query Configuration: You can configure queries to return ranked results using machine learning models. This includes setting up a suggestions menu and using
CSUserQueryContextto tailor the search results to your app's user interface. -
Ranking and Suggestions: Results can be ranked and sorted using a new compare by rank comparator. Suggestions can also be configured or disabled based on your app's needs.
For more detailed guidance, you can refer to the session Support semantic search with Core Spotlight (06:56) which covers results and suggestions in detail.
Relevant Sessions
- Support semantic search with Core Spotlight
- What’s new in App Intents
- Bring your app to Siri
These sessions provide insights into integrating semantic search and app intents, which can enhance the search capabilities of your app using AI and Spotlight.
Support semantic search with Core Spotlight
Learn how to provide semantic search results in your app using Core Spotlight. Understand how to make your app’s content available in the user’s private, on-device index so people can search for items using natural language. We’ll also share how to optimize your app’s performance by scheduling indexing activities. To get the most out of this session, we recommend first checking out Core Spotlight documentation on the Apple Developer website.
Bring your app to Siri
Learn how to use App Intents to expose your app’s functionality to Siri. Understand which intents are already available for your use, and how to create custom intents to integrate actions from your app into the system. We’ll also cover what metadata to provide, making your entities searchable via Spotlight, annotating onscreen references, and much more.
What’s new in App Intents
Learn about improvements and all-new features with App Intents, and discover how this framework can help you expose your app’s functionality to Siri, Spotlight, Shortcuts, and more. We’ll show you how to make your entities more meaningful to the platform with the Transferable API, File Representations, new IntentFile APIs, and Spotlight Indexing, opening up powerful functionality in Siri and the Shortcuts app. Empower your intents to take people deep into your app with URL Representable Entities. Explore new techniques to model your entities and intents with new APIs for error handling and union values.
Migrate your TVML app to SwiftUI
SwiftUI helps you build great apps on all Apple platforms and is the preferred toolkit for bringing your content into the living room with tvOS 18. Learn how to use SwiftUI to create familiar layouts and controls from TVMLKit, and get tips and best practices.