What is semantic search

Semantic search is a feature that enhances traditional search capabilities by understanding the meaning behind search terms rather than relying on exact matches. This allows users to search for content in a more natural and intuitive way. For example, if someone searches for "pets," semantic search can return results for related terms like "cats," "dogs," and "snakes," even if the exact word "pets" is not present in the content.

At WWDC 2024, Apple introduced several enhancements related to semantic search:

1. Core Spotlight: Core Spotlight now supports query understanding with semantic search. This means that search terms do not have to match exactly, and users can find content in their own way using terms that are similar in meaning. This is achieved through Spotlight's query understanding models, which ensure that the right results are found regardless of the search terms used. For more details, you can refer to the session Support semantic search with Core Spotlight.

2. Siri Integration: Siri has gained the ability to perform semantic searches, thanks to Apple intelligence. This allows Siri to understand the context and meaning behind search terms. For instance, when searching for "pets," Siri can find related content like "cats" and "dogs." Developers can use the app intents framework to define entities and provide additional context, making information available in the semantic index. For more information, you can check out the session Bring your app to Siri.

3. App Intents: The new associate app entity method allows developers to associate an app entity with a searchable item before indexing it. This enables the new semantic search to find information about the app entity, enhancing the search capabilities within the app. For more details, refer to the session What’s new in App Intents.

Relevant Sessions

1. Support semantic search with Core Spotlight
2. Bring your app to Siri
3. What’s new in App Intents