Examples of successful faceted search implementations in WordPress and WooCommerce
Introduction Faceted search is a powerful tool that allows users to filter and navigate through large sets of data by presenting them with relevant options
Introduction Faceted search is a powerful tool that allows users to filter and navigate through large sets of data by presenting them with relevant 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
Introduction In today’s fast-paced and highly competitive digital landscape, creativity plays a crucial role in capturing the attention of customers and driving business success. However,
Anything around BM25 statistical scoring. Including #elasticsearch , Apache #solr, Algolia, and WPSOLR https://www.wpsolr.com.
– Classical search AI augmented –
Still the classical engines, but with a pre-indexing phase to extract some semantic features. Including WPSOLR https://www.wpsolr.com/guide/configuration-step-by-step-schematic/activate-extensions/extension-nlp/
– Vector search pre-trained –
This includes all vector databases like SeMI Technologies Weaviate, Pinecone, Vespa, Qdrant, with a pre-trained LLM vectorizer. See https://www.wpsolr.com/guide/configuration-step-by-step-schematic/configure-your-indexes/create-weaviate-index/
– Vector search fine-tuned –
This includes all vector databases mentioned earlier, but with a fine-tuned LLM vectorizer.
None of them come with an automatic pipeline to fine-tune the model.
Or perhaps Google Retail search API https://www.wpsolr.com/guide/configuration-step-by-step-schematic/configure-your-indexes/create-a-google-retail-index/
#wpsolr #ai #google #pipeline #vectorsearch #finetuning #largelanguagemodels #searchengines #elasticsearch #apachesolr #algolia #weaviate #pinecone