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Wordpress search guides for WordPress & WooCommerce

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How Relevanssi works compared to the default WordPress search?

Since forever, websites have offered search functionalites to help their users find the content they need. It is no different for WordPress websites. A good WordPress search is invaluable since it increases user engagement and reduces frustration. Well WordPress offers a default search. But is it a good idea to use it? Well apparently not enough since Relevanssi exists. Relevanssi is a WordPress search plugin that replaces the default search with a more refined and efficient one. If you want to learn about more WordPress search plugins, you could check out our list.   Which features does Relevanssi add ? Index any WordPress data type The default WordPress search doesn’t offer configuration options, even choosing which data is searchable is not possible. This type of

What are search facets, how to use them, and what are their limitations?

Search facets, also known as faceted navigation or faceted search, are a powerful feature used in many websites and search engines to help users refine their search results. Facets provide a structured way of categorizing and filtering search results based on different attributes or characteristics of the data. They allow users to narrow down their search by selecting specific values within these attributes, making it easier to find relevant information.     What are facets ? Search facets are front-end components that allow the users to filter the items they want to see based on their respective metadata or taxonomies. Each facet represents a specific attribute of the data, such as product categories, price ranges, dates, or any other relevant characteristic. They can be displayed

A WooCommerce vector search live demo with Weaviate & CLIP (text & image) embeddings

Description: – WooCommerce with the Flatsome theme are hosted on Cloudways – WPSOLR plugin is installed and configured – Weaviate is installed on a Google Cloud Kubernetes cluster https://weaviate.io/developers/weaviate/installation/kubernetes/ – The data vectorization is performed by a CLIP model https://weaviate.io/developers/weaviate/modules/retriever-vectorizer-modules/multi2vec-clip/ – Search, filters, facets, sorting, and pagination are performed by query/data similarity within the Weaviate database Demo link: https://demo-woocommerce-flatsome-cloudways-2k-clip.wpsolr.com/shop/ WPSOLR: https://wpsolr.com #wpsolr #weaviate #woocommerce #vectorsearch #vectordatabase #clipmodel  

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GPT embeddings with Vector search for WordPress

GPT is the most widely used AI model today. But what if you wanted to use these same vectors (or embeddings) for your AI search? You could use OpenAI’s (or “GPT”) embedding models to generate embeddings and then store these GPT embeddings in a vector database solution like Weaviate, which offers a straightforward method for integrating OpenAI vectorizers. This allows you to efficiently incorporate GPT embeddings into your AI search engine or vector database. You can choose between three models : text-embedding-3-small, text-embedding-3-large and ada v2.   This guide will explain how you could add this AI search with GPT embeddings to your WordPress (or even Woocommerce) website.   Why use GPT embeddings ?   OpenAI provides the most widely used model today so why

WPSOLR is on OpenSearch partners list

WPSOLR is proud to announce his presence on the OpenSearch’s partners list https://opensearch.org/partners/ (And that we now use the official OpenSearch PHP client https://github.com/opensearch-project/opensearch-php)