Relevanssi Light is a lightweight variant of the Relevanssi search plugin designed for WordPress sites. It enhances the default search functionality by utilizing the built-in full-text indexing capabilities of MySQL or MariaDB database servers. This approach aims to deliver faster search performance and more relevant results while keeping resource usage low and configuration straightforward.
The tool is intended for users who do not require advanced customization or extensive configuration options. Relevanssi Light is particularly suitable for those seeking improved search results without the complexity of setting up advanced features. It does not offer the same level of customizability or versatility as the standard Relevanssi plugin; features such as fine-tuned weighting, phrase recognition, and extensive synonym support are limited or unavailable. Additionally, it does not provide custom excerpts or highlighted search terms.
Relevanssi Light can be extended by overriding the relevanssi_light_update_post_data() function, allowing users to include additional content, such as post author names, in the search index via a must-use plugin. It is also possible to disable the plugin for specific post types, which can be necessary for certain use cases, such as maintaining the functionality of admin order searches in WooCommerce when using legacy order storage.
org support forums and the GitHub issue tracker. org and GitHub, making it accessible to WordPress site owners looking for a simple, resource-efficient search improvement.
Relevanssi Light sits in PulseGate's Other productivity category. It focuses on improving the accuracy and speed of WordPress site search by using fulltext database indexing. It is built as a B2B product for wordPress site owners seeking better search functionality. Relevanssi Light is free to use. Relevanssi Light is available on the web.
Christoph Vielgrader builds and maintains Relevanssi Light, and it first shipped in 2020. The project is developed in the open on GitHub with 19 stars. Key capabilities include fulltext search, database indexing, and automatic indexing. The interface is available in English, Spanish, and Swedish.
Summary written by a language model from the project’s public pages.
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