The Meilisearch extension for Magento 2 enables replacing Magento's default search engine (OpenSearch) with Meilisearch.
Meilisearch is a search engine featuring a blazing fast RESTful search API, typo tolerance, comprehensive language support, and much more.
This frontend is fully compatible with the Breeze frontend by SwissUp.
If you're using Breeze, make sure to install the dedicated compatibility module:
👉 Meilisearch Breeze Compatibility Module
The Category Merchandising feature allows you to dynamically populate your categories using a rule engine.
No more manual category management — products are automatically assigned in real time based on the rules you define.
You retain full control with an intuitive drag-and-drop interface to reorder products and highlight your top-performing items.
The Facet Merchandising feature lets you fully customize the display of layered navigation filters for an optimized user experience.
You can:
- 🔃 Reorder facets as needed
- 🔍 Enable a search field within facet options
- 🔎 Enable Fuzzy Search within facet options for approximate matching
- ➕ Limit the number of visible options with a “Show more” toggle
Perfect for keeping navigation clean and user-friendly, even in attribute-rich catalogs.
The module offers a fully dynamic and responsive frontend interface powered by Knockout.js, designed to enhance layered navigation usability and speed.
Key features include:
- 🎚️ Price slider with real-time filtering
- ☑️ Multi-select checkboxes for flexible attribute filtering
- 🔍 Search within facet options to quickly find relevant values
- 🔎 Fuzzy search within facet options for approximate matching powered by Fuse.js
- ⚡ Instant UI updates without page reloads
The search within facet options is powered by Fuse.js, providing fast, fuzzy search among attribute values directly in the frontend.
This enhances usability, especially for attributes with a large number of options, by allowing approximate matching and instant filtering.
This modern frontend ensures a smooth and engaging shopping experience, even on large catalogs.
📚 Documentation | 🚀 Live Demo
