
How WP Extended Search works compared to the Default WordPress search?
Introduction WP Extended Search is a powerful search plugin designed to enhance the default WordPress search functionality and provide an improved search experience for website

Introduction WP Extended Search is a powerful search plugin designed to enhance the default WordPress search functionality and provide an improved search experience for website

Introduction In the world of content management systems, WordPress stands tall as one of the most popular platforms for website creation and management. However, its

Introduction WP Custom Fields Search is a powerful search plugin designed to enhance the default search functionality in WordPress. With its advanced features and capabilities,

Introduction WP Search with Algolia is a powerful plugin that enhances the search functionality of WordPress websites. Built on Algolia’s advanced search technology, this plugin

Introduction The search functionality is a crucial aspect of any website, allowing visitors to quickly find the information they are looking for. While WordPress offers

Introduction Advanced Woo Search is a powerful search plugin designed specifically for WooCommerce websites, offering enhanced search functionality compared to the default search feature provided

Introduction FiboSearch is a powerful search plugin that enhances the default search functionality of WordPress websites. With its advanced indexing and natural language processing (NLP)

Introduction In today’s digital landscape, an efficient and accurate search function is essential for any website. WordPress, being one of the most popular content management

Introduction Search functionality is a crucial aspect of any website, enabling users to find the information they need quickly and efficiently. WordPress, being one of

Introduction Search functionality is an essential aspect of any website, and WordPress, being one of the most popular content management systems, offers a default 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

Introduction The search functionality is a critical component of any website, enabling users to find relevant information quickly and efficiently. While WordPress provides a default

Introduction Search functionality is a critical component of any website, as it directly impacts the user experience and the ability to find relevant content. WordPress,

Introduction FacetWP is a powerful search plugin for WordPress that enhances the default search functionality and provides advanced filtering options for users. By integrating FacetWP

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

Introduction In recent years, the field of artificial intelligence (AI) has witnessed remarkable advancements, particularly in the realm of search algorithms. AI-powered search has revolutionized

Introduction Search engines have become an integral part of our daily lives, assisting us in finding relevant information from the vast sea of data available

Introduction The field of artificial intelligence (AI) has undergone remarkable advancements over the years, particularly in the domain of search algorithms. From the early days
Introduction A vector database is a type of database that is specifically designed to store and retrieve high-dimensional vectors efficiently. Vectors are mathematical representations of

Introduction A recommender system is an algorithmic technique used by various websites and applications to suggest relevant items or content to users based on their

Introduction Full-text search is a powerful technique used in information retrieval systems to efficiently search and retrieve relevant documents based on the presence of specific

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

WordPress search operates based on a set of principles that determine how it functions. Here are the key principles of WordPress search: 1. Keyword

Introduction Weaviate is an open-source, cloud-native, and vector-based knowledge graph that empowers developers to build intelligent applications with natural language processing (NLP) capabilities. It utilizes

Introduction Nuclia AI Search is an advanced artificial intelligence-powered search engine designed to provide users with accurate and relevant search results across a wide range

Introduction In the digital age, search engines have become an integral part of our daily lives, helping us find information quickly and efficiently. While keyword

Introduction WordPress search plugins are essential tools for improving the search functionality of your WordPress website. These plugins offer advanced features and customization options to

Introduction to AI Search Artificial Intelligence (AI) search refers to the process of finding relevant information or patterns within a dataset to answer queries or

Introduction Effective search functionality is a critical component of any successful e-commerce platform, and WooCommerce understands the significance of providing a robust search experience to

In today’s digital era, e-commerce has become an indispensable part of our lives. With the advent of platforms like WooCommerce, businesses have been able to
I just found this AI search. It is a surprise, because it looks like a fully E-Commerce compatible solution, which is pretty rare: – vector

Mostly about fixes, and still including 5 open-source search engines: Weaviate, #Elasticsearch, OpenSearch Project, The Apache Software Foundation #Solr, The Apache Software Foundation #SolrCloud A unique opportunity to test AI search

Evaluating LLMs with benchmarks will be over very soon. Here is why: 1. Benchmarks are based on human knowledge 2. Benchmarks are difficult to collect

After years of nothingness, and a first timid ANN search, here comes the great announcement everyone was expecting. Thanks to ESRE, short for “Elasticsearch Relevance

Some background: – Self-hosted Weaviate on a Google Cloud Kubernetes cluster – 2 replicas – 1 namespace co-hosting 5 demos (OpenAI, Cohere, Hybrid, CLIP, PaLM) – Weaviate v1.19.5

1 – Recommenders already use vectors of products and users to improve predictions with few events. 2 – Vector databases already deliver predictions with similarity

We’ve started the integration of WPSOLR and Weaviate‘s new PaLM vectorizer Stay tuned for a few more days …. 🙂 WPSOLR + Weaviate + WooCommerce: https://tmp-bopa1934-odns.wpsolr.com

Finally! I was wondering how long before Google provides a LLM embeddings API ? Already integrated to Weaviate with Google PALM, and soon to WooCommerce with WPSOLR:)

Vespa’s 2-phase state ranking can now be followed by a (stateless/autoscaling/GPU) global reranking from cross-encoder models

This is why closed LLMs developed so fast. There are not so many inference and even less training hosting providers for OSS LLMs. And even

But while vector search is, while embeddings are, sometimes the full integration is not … Let’s face it, most e-commerce demos start with some notebook

Until recently, you needed to be a data scientist and a python developer mastering tens of libraries. It is now easier with Hugging Face pipelines, or systems

— Typo corrected results — If you’re using vector search, you already get some form of spell tolerance. You will enjoy results even with a

— Pure vector search is amazing — After settling my first WooCommerce demos with Weaviate, I was shocked how good the results were. And with absolutely no tuning!

– Chapter 1: embeddings – After years of exploiting the last layer of ML models, somebody discovered with BERT that the gem was in fact

Weaviate was probably the first to understand that fact, by delivering no-code vectorizer modules inside the database. Vespa too, but with more manual steps (download the

– Vegetable & fruits shop with Weaviate + Cohere. Content in Hebrew, visitors query (no translation, no stemming, no N-Grams, no synonyms, no nothing) in

1. Download and convert to onnx any Hugging Face sentence transformer model(s) 2. Declare the model(s) with an id in services.xml => id=”bert” 3. Use the