Magento 2 Elasticsearch Extension

Elastic Search Ultimate is an extension for Magento 2 that provides one of the most powerful and speedy search features for your online store. The extension is compatible with Magento CE, Magento EE, and Magento Cloud (Magento 2 Cloud Elasticsearch).

By extending the default Magento 2 search, our extension significantly enhances the relevance of search results and introduces a range of essential features.

Elasticsearch is one of the world's leading engine that offering free and open source products that can be horizontally scaled, are highly reliable, and easy to manage. The extension seamlessly connects your Magento 2 store to the Elasticsearch engine, delivering fast and precise search results.

Using the Magento 2 Elasticsearch extension improves your store's search results, allowing customers to perform any type of search with ease. Elastic Search Ultimate aims to enhance the customer experience on your online store by speeding up search queries and making them more useful. Our search functionality works equally well on desktop and mobile devices.

By adding the fastest search autocomplete on the market to your store's search bar you can provide an exceptional customer experience. During a product search, the first thing that helps customers locate their desired product is the search autocomplete. This Magento Elasticsearch module has perfected the search process.

Make autocomplete even more useful by enabling the TypeAhead feature offered by our extension. With this feature, the Elastic Search Ultimate extension starts collecting data on the most popular search queries in your store. Our module groups queries and their results to quickly display the relevant suggestion while the user is still typing his or her query.

Stores that use Sphinx search and Elastic engines can activate Fast Mode to greatly improve search speed by excluding Magento 2 from the autocomplete search at the initialization stage.

The Elasticsearch Magento extension can search through the content of different third party plugins and external systems such as:

• Wordpress Blog
• Blog MX
• Magefan Blog
• Ves Blog
• Ves Brands
• Mageplaza Blog
• Aheadworks Blog
• Amasty Blog
• Amasty FAQ
• Simple Press Forum
• vBulletin Forum
• Knowledge Base
• Blackbird Content Manager
• Fishpig Glossary

Nobody likes to see 404 error pages. But when it comes to eCommerce, these things happen from time to time. To solve this problem, we redirect customers to the correct search results page instead of showing a 404 error page.

Say, your store had a product at one point, and it got delisted, but Google still shows it in the search results. Our extension will redirect your customers to a search results page with similar products instead of leading them to a 404 error page, preventing you from losing potential customers.

The Elasticsearch Magento 2 extension can create special pages that will show search results for specific queries. Such pages will look like regular catalog pages, and will have their own SEO-friendly URLs, titles, and meta tags.

For example, you can create a page titled 'Samsung mobile phones for ladies'. It will look like a regular catalog page, but the product list will return search results by the query 'samsung mobile phones for ladies'.

Store owners with a huge number of products in their stores often create their catalogs using search landing pages. They include links to pages from the main navigation menu. This allows them to easily manage their huge catalogs.

Search landing pages are also very useful for SEO optimization. You can create them for different search phrases with different sets of products. Their creation and support won't take up too much of your time, while still improving traffic from Google and other search engines.

Elasticsearch is a real-time distributed search and analytics engine. It's used in projects of any size from startups to huge enterprise search clusters. Some examples include:

• Wikipedia. It uses Elasticsearch to provide full-text search with highlighted search snippets, and search-as-you-type and did-you-mean suggestions.
• The Guardian. This media outlet uses Elasticsearch to combine visitor logs with social-network data to provide real-time feedback to its editors about the public's response to new articles.
• Stack Overflow. This online project combines full-text search with geolocation queries and uses "more-like-this" to find related questions and answers.
• GitHub. Uses Elasticsearch to query 130 billion lines of code.