WPSOLR Customer Success Stories guides for WordPress & WooCommerce

Making public information easier to find The White House website is a major public information resource, providing access to official announcements, communications, and policy information. Website scale: Third-party traffic estimates have placed the website at around 7.4 million visits per month. Powered by Apache Solr The website used WPSOLR with Apache Solr to provide key search capabilities: Search: Find relevant content across the website. Faceting: Narrow results by date and topic. Sorting: Organize search results to make information easier to browse. These features help visitors explore public information and focus on content relevant to their interests. Implementation by an independent consultant The WPSOLR license was purchased, and the integration was completed by an independent consultant—not by the WPSOLR team. This use case demonstrates how WPSOLR can

Turn WordPress content and documents into AI-ready knowledge—without burdening WordPress Organizations store valuable knowledge across WordPress custom post types, media libraries, ACF file fields, and external documents hosted on Google Drive. Making this information available to an internal AI assistant requires a pipeline that can process large volumes of documents without slowing down the website. In this use case, WPSOLR supports the content ingestion and indexing workflow. The client’s development team built the internal chatbot, using Weaviate as its vector database for retrieval. 1. Collect WordPress content and document links The pipeline collects selected WordPress post types and their associated ACF file fields, including links to media library files and Google Drive documents. WordPress media files are stored in Google Cloud Storage, providing a central

One e-commerce website, two search engines, two distinct challenges An Israeli online grocery retailer with Hebrew product content needed to serve customers searching in multiple languages while making internal order lookup fast enough for everyday customer service operations. WPSOLR connects two search engines to support these different requirements: Weaviate for customer-facing semantic search and Elasticsearch for internal order search. 1. Frontend: multilingual search that understands customer intent The storefront uses Weaviate hosted by Weaviate for multilingual and semantic product search, combined with OpenAI technology to help address the challenges of searching Hebrew product content using queries in five languages. Instead of relying only on exact keyword matches, semantic search helps customers find relevant products when their query expresses an intent, describes a need, or uses

The customer: A US retailer with multiple showrooms This customer is a US kitchen and bath retailer combining multiple physical showrooms with a substantial e-commerce business. Its online catalog spans three WooCommerce sites, each containing approximately one million products — around 3 million products in total. At this scale, choosing the right search infrastructure is critical. The retailer needed a search solution that could accommodate its large catalogs while integrating with its existing WooCommerce environment. The challenge: Elasticsearch indexing issues The customer initially used Elasticsearch through Elastic Cloud (elastic.co) to power product search. However, indexing issues led us to reconsider the search infrastructure. For a retailer managing millions of products across multiple sites, indexing is fundamental to keeping product data available to shoppers. We needed