Optimizing WooCommerce Product Filtering with Weaviate

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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 leveraging Weaviate, you can implement advanced search functionalities such as filtering products based on custom attributes, performing semantic searches, and delivering more accurate and relevant search results to your customers. Here’s how you can get started:

Step 1: Setting up Weaviate:
To begin, you need to set up a Weaviate instance. You can either install Weaviate on your own server or use a hosted version. Follow the Weaviate documentation to get your instance up and running.

Step 2: Define Schema and Import Data:
Next, you need to define the schema for your product data in Weaviate. This involves specifying the attributes you want to filter by, such as product name, category, price range, and any additional custom attributes. Once the schema is defined, you can import your product data into Weaviate using the Weaviate API or a data import tool.

Step 3: Integrating Weaviate with WooCommerce:
To integrate Weaviate with WooCommerce, you’ll need to develop a custom plugin or modify your existing WooCommerce plugin. Weaviate provides a PHP client library that simplifies the integration process.

First, install the Weaviate PHP client library using Composer:

composer require semi-technologies/weaviate-client

Next, you can use the following code snippet as a starting point to perform a product search with Weaviate:

require_once 'vendor/autoload.php';

use Weaviate\Client\Configuration;
use Weaviate\Client\WeaviateClient;
use Weaviate\Client\Exception\WeaviateApiException;

try {
 $config = Configuration::getDefaultConfiguration();
 $config->setHost('https://your-weaviate-url.com'); // Replace with your Weaviate instance URL

 $client = new WeaviateClient(null, $config);
 $client->setQuery('{"filters":[{"path": "name", "value": "blue", "operator": "equal"}]}'); // Replace with your desired filters

 $response = $client->getGraphQLQuery();

 // Process and display search results
} catch (WeaviateApiException $e) {
 echo 'Error: ' . $e->getMessage();

This code snippet demonstrates a basic search query where we filter products based on the “name” attribute equal to “blue”. You can customize the filters as per your requirements.

Step 4: Enhancing Product Filtering:
Weaviate provides various advanced filtering options that you can incorporate into your WooCommerce store. Some of these include:

– Custom attributes: You can define and filter products based on custom attributes that are specific to your business. For example, if you sell clothing, you can create custom attributes like “size,” “color,” or “material” and use them to enable more granular filtering.

– Semantic search: Weaviate uses vector-based search, which allows it to understand the context and meaning of words. By leveraging

this feature, you can enhance the search experience by implementing semantic search, which returns results based on the similarity of meaning rather than just keyword matching.

– Dynamic filtering: With Weaviate, you can dynamically update filters based on the selected options. For example, if a customer selects a specific category, you can update the available filter options to reflect only relevant attributes for that category.


Enhancing WooCommerce Product Filtering with WPSOLR

In addition to integrating Weaviate into your WooCommerce store for optimizing product filtering, another powerful tool that can greatly enhance your search capabilities is WPSOLR. WPSOLR is a feature-rich search plugin specifically designed for WordPress and WooCommerce. By combining the strengths of Weaviate and WPSOLR, you can take your product filtering to the next level. Let’s explore how WPSOLR can help improve your WooCommerce store’s search experience.

1. Indexing WooCommerce Products:
WPSOLR provides a seamless integration with WooCommerce, allowing you to index your product data directly into its search engine. It ensures that your product catalog stays in sync with the search index, providing real-time updates as products are added, modified, or removed. With WPSOLR, you can ensure that your search results are always up to date and accurately reflect the current state of your WooCommerce store.

2. Advanced Search Options:
WPSOLR offers a wide range of advanced search options that can enhance your product filtering capabilities. It allows you to define custom search fields and facets, enabling users to filter products based on various attributes such as price range, categories, tags, and custom product attributes. You can create dynamic filter options that update in real-time as users select different filters, providing a highly interactive and intuitive search experience.

3. Relevance and Ranking:
WPSOLR incorporates powerful relevance and ranking algorithms to ensure that the most relevant products appear at the top of search results. It takes into account factors such as keyword match, relevance of attributes, popularity, and sales performance to deliver accurate and meaningful search results to your customers. By fine-tuning the relevance settings, you can further optimize the search ranking to align with your business goals.

4. Faceted Search and Filtering:
Faceted search is an essential feature for product filtering, allowing users to narrow down their search results by applying multiple filters simultaneously. WPSOLR provides robust faceted search capabilities, enabling you to create dynamic filter options based on various product attributes. With WPSOLR, you can easily configure and customize the faceted search widgets, making it seamless for customers to explore and find the products they desire.

5. Integration with Weaviate:
By integrating WPSOLR with Weaviate, you can combine the advanced search capabilities of both tools to create a comprehensive and powerful search solution for your WooCommerce store. Weaviate’s semantic search and vector-based search capabilities can be seamlessly integrated into WPSOLR, enhancing the accuracy and relevance of search results. You can leverage Weaviate’s advanced filtering options and combine them with WPSOLR’s dynamic faceted search, providing a highly optimized and efficient product filtering experience for your customers.

WPSOLR is an excellent companion to Weaviate when it comes to optimizing WooCommerce product filtering. Its seamless integration with WooCommerce, advanced search options, relevance and ranking algorithms, faceted search, and dynamic filtering capabilities make it a robust tool for enhancing the search experience in your WooCommerce store. By combining the powers of Weaviate and WPSOLR, you can create a highly customized and efficient product filtering system that not only helps customers find what they’re looking for but also boosts conversion rates and customer satisfaction.



Optimizing product filtering in WooCommerce is essential for enhancing the user experience and driving more sales. By integrating Weaviate, you can leverage its advanced search capabilities to implement customized and efficient product filtering. The PHP client library provided by Weaviate simplifies the integration process, allowing you to seamlessly incorporate Weaviate into your WooCommerce store. Explore the possibilities with Weaviate and provide your customers with a more personalized and efficient shopping experience.

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