Synonym Sets now also supports the following languages (locales) out of the box:

• Portuguese (Brazil): pt_BR

• Portuguese (Portugal): pt_PT

• Italian: it_IT

• Arabic (Saudi Arabia): ar_SA

• Catalan (Spain): ca_ES

• Catalan (Andorra): ca_AD

• Catalan (Spain, Valencian): ca_ES_VALENCIA

• Chinese (China): zh_CN

• Chinese (Taiwan): zh_TW

• Dutch (Netherlands): nl_NL

• Dutch (Belgium): nl_BE

• Finnish (Finland): fi_FI

• French (France): fr_FR

• French (Canadian): fr_CA

• German (Germany): de_DE

• Hungarian (Hungary): hu_HU

• Japanese (Japan): ja_JP

• Swedish (Sweden): sv_SE

Administrators are advised to review the Elasticsearch connector configuration and remove any customized field mappings and settings added previously for the above locales from the Override Type Mappings and the Additional Index Settings as now they are provided by the platform out-of-the-box. (Requires a Full or Concurrent Reindex!)

The new Date Range and Range aggregation types unlock powerful search capabilities for your Liferay assets, including Web Content Structures and Objects.

By configuring any date or numeric index field, you can:

• Group and Filter Results: Create dynamic search filters based on specific dates or numeric ranges.
• Customize User Experience: Offer flexible search options with predefined ranges or custom input fields.
• Visualize Data Effectively: Leverage out-of-the-box display templates for a seamless user interface.

Think of Date Range as a versatile extension of the Modified Facet. You can now select any desired date field to refine search results precisely.

Note:
The functionality of the Date Facet widget was introduced under a Developer Feature Flag in LPS-153839 2024.Q1 has been integrated into the Custom Facet and is now available as GA. The Date Facet widget is no longer available.

Improved Disk Space Utilization for Elasticsearch and OpenSearch Deployments

To reduce disk space usage on the search engine side, we have optimized default field mappings which no longer use stored fields. Instead, the platform uses the fields parameter as the default document field retrieval method.

Important Considerations for Administrators:

• Review Advanced Settings: Administrators should carefully examine the "Additional Type Mappings" and "Override Type Mappings" settings within the search engine connector configuration.

• Compare with Defaults: After reviewing the advanced settings, compare the existing mappings to the new defaults to identify potential adjustments. While stored fields are still supported, they are not recommended.

Potential Impact on Custom OSGi Modules:

While most users should experience seamless transitions, developers of custom OSGi modules that utilize Liferay's Java Search APIs may encounter changes in search response behavior. This could occur if the modules rely on specific fields being included in the search response. In such cases, developers may need to make adjustments to their modules to ensure correct functionality.

OpenAI can now be configured as a Text Embedding Provider for Semantic Search.

OpenAI offers two powerful third-generation embedding models promising lower costs, higher multilingual performance, and stronger overall performance compared to the predecessor models.

If your organization is already utilizing OpenAI's ChatGPT or other OpenAI Platform APIs, now you can take advantage of OpenAI's Vector Embeddings capability to deliver semantically more relevant search results through Liferay's semantic search feature (BETA) without the need to sign up for another service.