Learn about Algolia’s features that are available out-of-the-box to build first-class search and discovery experience.
Algolia has built-in features that you can configure and integrate into your search implementation. All are available out-of-the-box and don’t require any additional development.Here’s an overview of features that are helpful when getting started with building search.
Algolia works with multiple languages, including Chinese, Japanese, Korean, Hebrew, and Arabic, without any additional work. This means that both left-to-right (LTR) and right-to-left (RTL) scripts are supported.
Users misspell words, and mobile devices can make typos more common.
To prevent letting these common mistakes ruin your user’s search experience,
Algolia provides robust typo-tolerance and options to customize just how tolerant a search experience should be.
Each search response contains one or more highlighted results, so you can show which section and words matched user queries.
Highlighting will work even if users misspell a .
Similarly, it’s possible to include snippets of response information in the case of lengthier pieces of content.
The Algolia response contains matching facets based on the query and any selected .
With this information, you can build an intuitive, faceted experience that lets users understand
the available refinements and helps avoid “no results” screens.
Synonyms tell the engine about sets of words and expressions that should be considered equal—for example, jacket ⇔ parka or mad ⇔ angry. You can specify various types of synonyms based on the needs of your data.
Search results from location-based queries (geo-search) can contain distance information. This enables you to display nearby search results sorted by distance or constrain your search to a particular region or radius.
Algolia lets you set up various sorting strategies to help your users select their preferred ranking.
For example, you may allow users to sort by the most recent results or lowest price.
The distinct feature allows for either deduplication or grouping based on a specific “key” attribute.
This lets you remove duplicate or group sets of records (which is useful for handling parent-child relationships).
Algolia’s Personalization feature creates relevance tuned specifically for each user.
For example, teenagers searching for “Grand Theft Auto” might be looking for game strategies:
mothers searching the same want to know if the game is appropriate for their kids.
Personalization lets you “boost” results that might be subjectively more in line with a particular user’s tastes.
