PHP guides for WordPress & WooCommerce

How WP_Query performs a WordPress search

WordPress relies on the WP_Query class to perform searches (and load data in general). This class is a very versatile and customizable piece of PHP code since it includes many WordPress hooks and this way many plugins have been built around it. Without WP_Query, adding an efficient and relevant WordPress search would be very difficult. This guide will overview the components of the WP_Query class, among others, that form the search functionalities within WordPress. For the purpose of this guide, let’s consider that the user enters the term “shirt” in the WordPress search bar. This will reload the page. It will now have the following url : https://www.yourwebsite.com/?s=shirt. This way the term you want to search (in this case

Vespa error : “feed: got status 507”

When trying to deploy your Vespa application and index your documents, you could receive the following error : feed: got status 507 ({"pathId":"/document/v1/mynamespace/music/docid/hardwired-to-self-destruct","id":"id:mynamespace:music::hardwired-to-self-destruct","message":"[UNKNOWN(251009) @ tcp/a9a1e3304702:19112/default]: ReturnCode(NO_SPACE, External feed is blocked due to resource exhaustion: in content cluster 'music': disk on node 0 [a9a1e3304702] is 93.9% full (the configured limit is 75.0%). See https://docs.vespa.ai/en/operations/feed-block.html) "}) for put id:mynamespace:music::hardwired-to-self-destruct: not retryable This is because the disk space is almost full (in this case 93.9%). When the nodes reach a certain limit, the nodes block external write operations. By default Vespa sets it’s disk space limit at 0.75 (75%). You can increase it by adding the following lines to the ‘services.xml’ file in your Vespa application package, more precisely inside the ‘<content>’ tag :

Build a recommendation system using Recombee and PHP

Recombee is a recommender that offers personalized search & recommendations for e-commerce, media, and other industries. It uses machine learning algorithms to analyze user behavior, preferences, and interactions in order to provide relevant and accurate suggestions. With Recombee, businesses can improve their customer experience by offering personalized product recommendations based on each individual’s browsing history, purchase history, and interests. This helps increase customer engagement and satisfaction, ultimately leading to higher sales and revenue. If you wish to learn more about Recombee, you can check out our full review. In this guide, we will learn how to build a recommendation system using Recombee and PHP. Getting started with Recombee and initializing the project Create a Recombee account at the following : https://oauth.recombee.com/ and initialize your

Elasticsearch indexing: Tips for getting it right

Introduction Elasticsearch is a powerful open-source search engine that provides fast and scalable indexing capabilities. When it comes to indexing data in Elasticsearch, there are a few tips and best practices that can help you get it right. In this post, we will explore these tips and also look at how the PHP client for Elasticsearch can be used to index data. Additionally, we will discuss the benefits of using WPSOLR, a WordPress plugin that integrates Elasticsearch to enhance search functionality. Elasticsearch Indexing Tips 1. Define a Suitable Data Model: Before indexing data, it is crucial to define a suitable data model that represents the information you want to search. This includes identifying the fields and their respective data types. 2. Optimize Mapping: Elasticsearch allows

Elasticsearch for WooCommerce setup on a dedicated server

Introduction Elasticsearch is a powerful search and analytics engine that is designed for distributed environments. It provides capabilities for full-text search, real-time analytics, and data visualization. When combined with WooCommerce, Elasticsearch can significantly improve the search functionality of your online store, making it easier for customers to find the products they are looking for. Setting up Elasticsearch on a dedicated server can be a complex process, but with the right guidance, it can be done efficiently. In this post, we will walk you through the steps required to set up Elasticsearch for WooCommerce on a dedicated server, along with an integration using the PHP client. Prerequisites Before we begin, it is important to note that setting up Elasticsearch on a dedicated server requires a

The benefits of dynamic filtering with Algolia’s search implementation

Introduction Algolia is a powerful search and discovery platform that provides developers with a wide range of features for implementing a robust search functionality in their applications. One of the key benefits of Algolia’s search implementation is dynamic filtering, which allows users to refine their search results in real-time based on various criteria. This feature greatly enhances the user experience by providing instant feedback and reducing the time and effort required to find the desired results. Benefits of Dynamic Filtering with Algolia’s Search Implementation 1. Real-time Results: Dynamic filtering enables users to see the updated search results as they refine their search criteria. This real-time feedback allows users to quickly iterate and narrow down their search to find the most relevant results. With Algolia,

How Algolia improves visibility of products in WooCommerce

Introduction In today’s fast-paced e-commerce world, having a well-optimized search functionality can make all the difference in improving the visibility of products on your WooCommerce store. Customers need to be able to find what they’re looking for quickly and easily, and a powerful search engine like Algolia can help you achieve just that. In this post, we will explore how Algolia can improve the visibility of products in WooCommerce, and we will also discuss how WPSOLR can further enhance your search capabilities. How Algolia improves visibility of products in WooCommerce Algolia is a leading search-as-a-service platform that provides lightning-fast and highly-relevant search results. By integrating Algolia with WooCommerce, you can significantly enhance the search functionality of your online store, making it easier for customers

Elasticsearch in the cloud: The pros and cons

Introduction Elasticsearch is a popular search and analytics engine that is widely used for its scalability, speed, and ease of use. It is designed to handle large amounts of data and perform real-time searches and analytics on that data. When it comes to deploying Elasticsearch, one option that many organizations consider is deploying it in the cloud. There are several cloud providers that offer Elasticsearch as a managed service, such as Amazon Web Services (AWS) Elasticsearch Service, Google Cloud Elasticsearch, and Elasticsearch Service on Elastic Cloud. In this post, we will explore the pros and cons of using Elasticsearch in the cloud, and also provide some code examples using the PHP client for Elasticsearch. Pros of Elasticsearch in the cloud 1. Scalability: One of the

Apache Solr indexing options

Introduction Apache Solr is an open-source search platform built on Apache Lucene. It provides efficient and powerful search capabilities for various applications, making it a popular choice for developers. One of the fundamental aspects of Solr is indexing, which refers to the process of adding, updating, and deleting documents from the Solr database. In this post, we will explore the indexing options available in Apache Solr and demonstrate how to use the Solr PHP client to index data into Solr. We will also discuss how WPSOLR, a plugin for WordPress, can simplify the indexing process and offer advanced features for Solr integration. Indexing Options in Apache Solr Apache Solr provides multiple approaches for indexing data: 1. Batch Indexing: Batch indexing allows you to upload a

How Algolia contributes to the SEO of your WooCommerce store

Introduction In the world of eCommerce, search engine optimization (SEO) plays a vital role in driving traffic and increasing visibility for online stores. WooCommerce, being one of the most popular eCommerce platforms, understands the significance of SEO and offers various tools and plugins to optimize online stores. One such tool is Algolia, a powerful search and discovery platform that can significantly enhance the SEO of your WooCommerce store. In this post, we will explore how Algolia contributes to the SEO of your WooCommerce store and how it can be integrated using PHP client. Introduction to Algolia Algolia provides a search-as-you-type experience for your WooCommerce store, enabling customers to find products quickly and effortlessly. Its sophisticated algorithms and instant search capabilities make it a popular

Using Elasticsearch for creating dynamic facets in WooCommerce

Introduction Elasticsearch is a powerful search and analytics engine that can be used to enhance the search capabilities of your WooCommerce website. One of the key features of Elasticsearch is the ability to create dynamic facets, which allow users to easily refine their search results based on various attributes. In this post, we will explore how Elasticsearch can be used to create dynamic facets in WooCommerce and how you can implement it using the PHP client. Using Elasticsearch for Dynamic Facets in WooCommerce Facets in Elasticsearch are essentially filters that allow users to narrow down their search results by applying certain criteria. For example, if you are running an online store and have products with attributes such as color, size, and brand, you can

Elasticsearch and the world of machine learning

Introduction Elasticsearch is a powerful, open-source search engine built on top of the Apache Lucene library. It is commonly used to store, search, and analyze large volumes of data. The world of machine learning, on the other hand, is concerned with creating algorithms that can learn from and make predictions or take actions based on data. Combining Elasticsearch and machine learning can be a game-changer in terms of the insights and actions that can be derived from data. In this post, we will explore some ways in which Elasticsearch can be leveraged for machine learning tasks and how the two technologies can complement each other. Using Elasticsearch for Machine Learning Elasticsearch provides several features and functionalities that can be beneficial for various machine learning tasks.

How Weaviate can be used to enhance personalized recommendations

Introduction Personalized recommendations have become an integral part of the digital experience, whether it is for e-commerce platforms, music streaming services, or social media platforms. These recommendations help users discover new products, services, or content that aligns with their interests and preferences. Weaviate, an open-source vector search engine, offers a powerful solution to enhance personalized recommendations by leveraging its semantic search capabilities. In this post, we will explore how Weaviate can be used and integrated to provide personalized recommendations. Additionally, we will discuss how WPSOLR can complement Weaviate and further improve the recommendation engine. Enhancing Recommendations with Weaviate Weaviate is a vector search engine powered by machine learning, which enables semantic search and knowledge graph integration. By indexing and organizing data into vectors, Weaviate

How to create effective product listings for Google Retail search

Introduction Creating effective product listings is essential for Google Retail search as this directly affects the visibility and rank of your products in search results. With millions of products available online, it is important to optimize your product listings to ensure that they stand out and attract potential customers. In this post, we will discuss some valuable tips on how to create effective product listings for Google Retail search. How to Create Effective Product Listings 1. Accurate Product Titles The product title is one of the most crucial elements of a product listing. It should accurately describe the product and include relevant keywords. To ensure proper formatting and readability, it is recommended to follow Google’s Product Title Guidelines. These guidelines specify the maximum character

Boosting search results with Apache Solr

Introduction Boosting search results is a crucial aspect when it comes to improving the overall search experience for users. When users search for specific terms or phrases, it is often desirable to have certain results rank higher than others based on various criteria. Apache Solr is a powerful and versatile search platform that offers advanced search capabilities, including boosting search results. Apache Solr enables developers to create custom ranking rules to influence the order in which search results are displayed. This allows for more relevant and accurate search results, ultimately enhancing the user experience. In this post, we will explore how to boost search results with Apache Solr, and we will also touch on how WPSOLR, a WordPress plugin, can help simplify the process. Boosting

Elasticsearch vs. Solr: Which one is better?

Introduction Elasticsearch and Solr are two of the most popular and widely-used search engines in the field of information retrieval. Both offer powerful features and are capable of handling large-scale search applications efficiently. However, when it comes to choosing between Elasticsearch and Solr, it can be challenging to determine which one is better suited for your specific use case. In this post, we will explore the differences between Elasticsearch and Solr, compare their key features, and discuss how WPSOLR can help enhance your search capabilities. Elasticsearch Elasticsearch is a real-time search and analytics engine built on top of the Apache Lucene library. It is known for its distributed architecture, scalability, and speed. One of the key advantages of Elasticsearch is its ability to handle

The impact of Google Retail search on your WooCommerce SEO performance

Introduction Google Retail search is a powerful tool that allows customers to search for products and make purchases directly on the Google search engine. This feature has had a significant impact on the SEO performance of WooCommerce websites. With Google Retail search, customers can see product listings, images, prices, and reviews, all within the search results page. This can lead to increased visibility, click-through rates, and ultimately, more sales for online retailers. The Impact of Google Retail search on WooCommerce SEO Google Retail search has revolutionized the way customers discover and buy products online. With the integration of product data directly into search results, customers can easily compare prices, read reviews, and make purchase decisions without even visiting a website. This has massive implications for

Using Algolia to create lightning-fast faceted search in your WordPress and WooCommerce store

Introduction: Faceted search is an essential feature for any e-commerce website. It allows users to refine their search results by applying filters to specific attributes or categories. Algolia is a powerful search engine that provides lightning-fast faceted search capabilities. In this post, we will learn how to integrate Algolia into your WordPress and WooCommerce store to enhance the search experience. Getting Started with Algolia: To start using Algolia, you need to create an account and obtain the necessary API credentials. Once you have your credentials, you can install the Algolia plugin for WordPress or use the Algolia PHP client directly. Using Algolia with the PHP Client: To use Algolia in your WordPress or WooCommerce store, you can utilize the Algolia PHP client. Here’s an example

How to use Google Retail search to improve your WooCommerce conversion rate

Introduction Google Retail Search is a powerful tool that can greatly optimize your WooCommerce conversion rate. By integrating this feature into your online store, you can provide a seamless and efficient search experience for your customers. In this post, we will explore the steps to use Google Retail Search and how it can significantly improve your WooCommerce conversion rate. Setting up Google Retail Search To begin, you will need to have a Google Merchant Center account and a WooCommerce website. Once you have these, you can follow these steps to set up Google Retail Search: Step 1: Install the Google Retail Search plugin First, you will need to install the Google Retail Search plugin for WooCommerce. You can find this plugin in the WordPress

The role of analytics in eCommerce with Elasticsearch

Introduction: In the ever-evolving world of eCommerce, it is crucial for businesses to make data-driven decisions that optimize their online storefronts and improve customer experiences. This is where analytics comes into play. By harnessing the power of analytics, businesses can uncover valuable insights from vast amounts of data, opening up opportunities for optimization and growth. One such tool that has gained immense popularity in recent years is Elasticsearch. In this post, we will explore the role of analytics in eCommerce with Elasticsearch and showcase how it can be leveraged using the PHP client. The Role of Analytics in eCommerce Analytics plays a pivotal role in eCommerce by providing businesses with the ability to understand customer behavior, make data-driven decisions, and optimize their online platforms.

5 common mistakes to avoid when using Google Retail search for WooCommerce

Introduction Google Retail search is a powerful tool that can greatly enhance the search functionality of your WooCommerce store. By integrating Google’s Retail Search API into your website, you can provide your users with an efficient and seamless shopping experience. However, there are some common mistakes that you should avoid when using Google Retail search for WooCommerce. In this post, we will discuss five of these mistakes and provide you with tips on how to avoid them. Inadequate API Configuration One common mistake when using Google Retail search is not configuring the API properly. To use Google’s Retail Search API, you need to set up a project in the Google Cloud Platform console, enable the API, and generate an API key. Without proper configuration,

How to optimize your WooCommerce products for Google Retail search

Introduction: WooCommerce is the most popular e-commerce platform, and optimizing your products for Google Retail search is vital for online businesses. Google Retail search crawls the product pages of an online store to find the most relevant products for a user’s search query. Therefore, optimizing your products for Google Retail search means making your products more visible and ultimately resulting in increased sales. Optimizing Your WooCommerce Products for Google Retail Search: 1. Product Titles and Descriptions: Your product title and description should be descriptive and accurate. Use relevant keywords that describe the product in detail. The title should be between 50-60 characters and include the most important keywords to make it easier for Google to rank it higher in search results. Similarly, the description should

Apache Solr versus Elasticsearch: which is better?

Introduction Apache Solr and Elasticsearch are both incredibly powerful open-source search engines that can deliver lightning-fast search results for developers who want to provide users with an optimized search experience. Both of these tools can perform a wide range of search-related functions, including text searches, suggestions, spellchecking, and more. In this post, we will take a closer look at the differences between Apache Solr and Elasticsearch, and which one may be better suited to your specific needs. Apache Solr vs Elasticsearch: Which One is Better? Both Apache Solr and Elasticsearch can deliver impressive search engine capabilities. Here are a few key differences between the two: Data Handling Apache Solr is often preferred for its data handling capabilities. It is particularly well-suited for handling complex, structured

How to set up an Elasticsearch cluster

Introduction If you’re looking for a distributed, open-source search and analytics engine, then Elasticsearch is your best bet. It can help you with structured and unstructured data, including HTTP web logs, machine-generated data, and social media. It’s fast, reliable, and scalable, making it a popular choice for big data search applications. In this post, we’ll show you how to set up an Elasticsearch cluster. What is Elasticsearch? Elasticsearch is a distributed search engine that uses Lucene for full-text indexing and search. It’s written in Java and uses the Apache Lucene library to provide fast and accurate indexing of large amounts of data. Elasticsearch is designed to be scalable, fault-tolerant, and easy to use. How to set up an Elasticsearch cluster To set up an Elasticsearch

Creating custom Elasticsearch queries for WooCommerce

Introduction When it comes to optimizing the search experience on your WooCommerce website, Elasticsearch is the best search engine that you can use. Elasticsearch is a fast, scalable, and powerful solution that can improve the search experience on your WooCommerce website dramatically. However, there is a lot of work that goes into creating custom Elasticsearch queries for WooCommerce. In this post, we will walk you through the process of creating custom Elasticsearch queries for WooCommerce. Creating Custom Elasticsearch Queries for WooCommerce The first step to creating custom Elasticsearch queries for WooCommerce is to install Elasticsearch on your server. Once you have Elasticsearch installed, you can start building custom queries using the Elasticsearch API. The easiest way to do this is to use the Elasticsearch PHP

How to install Elasticsearch on Windows

Introduction Elasticsearch is a powerful open-source search and analytics engine that enables you to store, search, and analyze large volumes of data quickly, reliably, and in near-real-time. With Elasticsearch, you can perform complex searches, visualize data, and create dashboards. Elasticsearch is written in Java and is extremely scalable and easy to use. If you are using Windows, then you can install Elasticsearch on your system and start using it for your project. In this post, we will guide you through the steps for installing Elasticsearch on Windows. Step 1: Download and Install Java JDK Before you start the installation of Elasticsearch, you need to download and install the Java Development Kit (JDK) on your system. Elasticsearch requires Java 8 or later version to run, so

Installing Apache Solr

Introduction Apache Solr is an open-source search platform that allows you to create powerful search features for your web applications. It is built on top of the Apache Lucene project and provides advanced search capabilities such as full-text search, hit highlighting, and faceted search. In this tutorial, we will guide you through the process of installing Apache Solr on your system. Installation of Apache Solr 1. Download and install Java on your system if it is not already installed. Set up JAVA_HOME and PATH variables in your system. 2. Go to the Apache Solr download page and download the latest version of Apache Solr. 3. Extract the contents of the downloaded file into a directory on your system. 4. Start the Apache Solr server by

How Elasticsearch powers search

Introduction With the growing amount of data available on the internet, managing and searching through this data has become increasingly challenging. Elasticsearch is a search engine that enables users to perform complex searches on large amounts of data in real-time. Users can perform text searches, structured searches, and analytics through Elasticsearch. In this article, we will discuss how Elasticsearch powers search, using a PHP client and how WPSOLR can help users in the management and customization of Elasticsearch. Elasticsearch and Search Queries Elasticsearch is based on Lucene, a software library for full-text search. Elasticsearch manages, indexes, and searches through a vast volume of data in real-time using a request-response system in JSON format. It has various features such as performance optimization, high scalability, availability, and

Algolia vs Elasticsearch: Which one should you choose?

Introduction When it comes to search engines, Algolia and Elasticsearch are two of the most popular options. They both have their strengths and weaknesses, which can make it difficult to determine which one is the right choice for your project. In this article, we’ll compare Algolia vs Elasticsearch and provide some guidance on which one to choose. Algolia is a cloud-based search engine that offers lightning-fast search results, and easy-to-use features. Elasticsearch, on the other hand, is open-source software that can be hosted on your own servers or in the cloud. It is known for its powerful search capabilities, scalability, and flexibility. So, which one should you choose? Algolia vs Elasticsearch: Speed and Scalability One of the biggest advantages of Algolia is its speed. It

Using Elasticsearch to improve customer experience in WooCommerce

Introduction Elasticsearch is a highly customizable and scalable open source search engine. It provides solutions for full-text search, structured search, analytics, and more. By integrating Elasticsearch with WooCommerce, you can significantly improve the search experience of your customers by providing accurate and relevant search results. Using Elasticsearch to improve customer experience in WooCommerce When customers search for products on an e-commerce site, they expect the search results to be accurate and aligned with their search intent. However, the default search engine of WooCommerce may not always provide the best results. This is where Elasticsearch can help. By using Elasticsearch, you can build a powerful search engine that can handle complex search queries and provide relevant results within milliseconds. Elasticsearch uses various techniques like text analysis,

Introduction to Apache Solr

Introduction to Apache Solr Apache Solr is an open-source search engine platform that is used to fetch search results from huge amounts of data. Apache Solr is built on top of Apache Lucene. Lucene is a popular search library that provides advanced search functionalities and indexing. Apache Solr is widely used in eCommerce products, enterprise search engines, and big data applications. It has a robust API that supports multiple search options and has many customizable features. It provides various mechanisms to index data and also supports various query languages like Lucene Query Syntax and Solr Query Syntax. PHP client for Apache Solr Apache Solr can be easily integrated with various programming languages. Here is an example of using a PHP client to connect to Apache

What is Weaviate and how does it work?

Introduction In today’s digital era, data is the king, and as the volume of data grows, it becomes increasingly challenging to extract useful information from it. Weaviate is an open-source vector search engine that solves this problem by providing fast and efficient searches, allowing you to find and extract data easily. This post dives into what Weaviate is, how it works, and how it can help you. What is Weaviate? Weaviate is an open-source, decentralized, and cloud-native vector search engine that allows you to add vector-based search functionality to your application. It uses artificial intelligence and machine learning to enable fast and efficient searches that traditional databases cannot match. It is built to handle millions/billions of vectors. Weaviate allows you to store and search objects

Top reasons why WooCommerce users should consider using Google Retail search

Introduction WooCommerce is a powerful eCommerce platform that allows users to create and manage their online store with ease. However, even with a well-designed store, it can be challenging to drive traffic and convert visitors into customers. This is where Google Retail search comes in. In this post, we will discuss the top reasons why WooCommerce users should consider using Google Retail search. Top Reasons to Use Google Retail Search 1. Increased Visibility: Google Retail search provides increased visibility for your products by displaying them prominently in Google search results. This helps your products get discovered by potential customers who are actively searching for similar products. 2. Improved Targeting: With Google Retail search, you can target customers who are more likely to make a purchase.

What is Apache Solr and how does it help with WooCommerce?

Introduction WooCommerce is a popular e-commerce platform for WordPress sites. It is an excellent choice for businesses that want to sell products online. However, even with excellent products and well-designed pages, customers need to be able to find what they are looking for quickly and efficiently. Fortunately, there is Apache Solr, a powerful search engine that can help with this. This post will detail what Apache Solr is, its advantages, and how it can help with WooCommerce. The post will also include a code sample that shows how to implement Solr in a WooCommerce site using PHP. What is Apache Solr? Apache Solr is an open-source search engine that can be used to manage and search large amounts of data. It is used by popular

Different ways of integrating Elasticsearch with WooCommerce

Introduction Elasticsearch is an open-source search engine that helps in storing and indexing data quickly and efficiently. It is a powerful tool that can be integrated with various applications, including eCommerce platforms like WooCommerce. WooCommerce is a free WordPress plugin that allows businesses to sell their products online through their websites. Integrating Elasticsearch with WooCommerce can enhance the search experience for users and provide better search results. In this post, we will discuss different ways of integrating Elasticsearch with WooCommerce and how WPSOLR can help in this process. We will also add some PHP code to help you get started with the Elasticsearch client. Integrating Elasticsearch with WooCommerce There are different ways to integrate Elasticsearch with WooCommerce, and we will discuss some of them here:

Managing Multilingual WooCommerce Stores with Google Retail search

Introduction Managing multilingual WooCommerce stores can be a complex task, especially when it comes to ensuring a seamless search experience for customers across different languages. However, with the power of Google Retail Search and the flexibility of the WooCommerce platform, you can effectively manage multilingual stores and provide a consistent search experience to your customers. In this post, we will explore how you can leverage the Google Retail Search API to enhance search functionality in your multilingual WooCommerce store and provide relevant search results to users in their preferred language. Google Retail Search API The Google Retail Search API is a powerful tool that allows you to integrate Google’s search technology into your online store. By utilizing this API, you can enhance the search

Managing Multilingual WooCommerce Stores with Weaviate

Introduction In today’s globalized world, businesses are expanding their reach beyond borders, catering to customers from different linguistic backgrounds. This has created a need for multilingual support in e-commerce platforms like WooCommerce. Managing a multilingual WooCommerce store can be a complex task, but with the help of powerful tools like Weaviate, it becomes much easier. Weaviate is an open-source knowledge graph that can be used to build intelligent applications. In this post, we will explore how to manage multilingual WooCommerce stores using Weaviate and provide some example code using the PHP client. Managing Multilingual WooCommerce Stores with Weaviate 1. Setting up Weaviate: The first step is to set up Weaviate on your server. You can follow the official documentation to install and configure Weaviate

Managing Multilingual WooCommerce Stores with OpenSearch

Introduction Managing multilingual WooCommerce stores can be a challenging task, especially when it comes to handling search functionality across different languages. However, with the advent of OpenSearch, an open-source search engine, it has become easier to provide efficient and accurate search results for multilingual stores. In this post, we will explore how you can manage multilingual WooCommerce stores using OpenSearch and demonstrate a PHP client code snippet for integrating it into your WooCommerce setup. Managing Multilingual WooCommerce Stores with OpenSearch One of the key challenges in managing multilingual WooCommerce stores is to ensure that the search functionality is capable of handling different languages and providing relevant search results. OpenSearch, which is based on the Elasticsearch search engine, offers powerful features that can help overcome

Optimizing WooCommerce Product Filtering with Google Retail search

Introduction WooCommerce is a powerful e-commerce platform that allows businesses to set up and manage their online stores. One of the essential features of any e-commerce store is the ability to filter and search for products based on various criteria. By default, WooCommerce provides basic product filtering options, but if you want to enhance the filtering capabilities and improve the user experience, integrating Google Retail search can be a game-changer. Google Retail search is a comprehensive solution that enables advanced product filtering, sorting, and searching functionalities. It utilizes Google’s powerful search technology to deliver accurate and relevant results to users. In this post, we will explore how to optimize WooCommerce product filtering by integrating Google Retail search into your online store. Optimizing WooCommerce Product

Optimizing WooCommerce Product Filtering with Weaviate

Introduction WooCommerce is a popular e-commerce platform for WordPress that allows businesses to set up online stores and sell products. One important aspect of any e-commerce store is product filtering, which enables customers to narrow down their search and find the products they are looking for quickly and efficiently. However, the default filtering options provided by WooCommerce may not always meet the specific requirements of a business. In this post, we will explore how you can optimize WooCommerce product filtering using Weaviate, an open-source, vector-based search engine, and introduce a PHP client library to facilitate integration. Optimizing WooCommerce Product Filtering with Weaviate Weaviate is an excellent tool for enhancing product filtering in WooCommerce due to its powerful search capabilities and flexible schema design. By

integrate your Opensearch server using the PHP client

Should you Use Elasticsearch PHP Client With OpenSearch? Opensearch PHP guide

Historically, you had to use the Elasticsearch PHP client, but as of november 2021 that is not the case anymore. The official Opensearch PHP client is now available. As an official opensearch partner, we just had to explain the benefits of the Opensearch PHP client and provide a comprehensive guide on setting up a PHP application with it. Opensearch is an open-source search engine designed for scalable and high available applications. It offers features such as full-text search, faceted search, vector search and many more. Why use the Opensearch PHP client Using the OpenSearch PHP client offers several advantages over using cURL directly. First, the PHP client provides a more simple and user-friendly interface for interacting with the OpenSearch API, reducing