WooCommerce’s search integration with Vespa.ai has reached a new milestone!
— Sorting arrays — An important feature of E-Commerce search is the ability to sort on arrays of strings, or arrays of numbers: product variations
— Sorting arrays — An important feature of E-Commerce search is the ability to sort on arrays of strings, or arrays of numbers: product variations
The image shows two sets of results from the same WooCommerce demo contents. — Image search https://lnkd.in/ez_zrH95 — Image search is powered by Weaviate‘s CLIP embedding module https://lnkd.in/eEhCqiem, with a
Very nice paper https://lnkd.in/eyfhuyAi from Metarank Labs Similar to Vespa papers, Metarank papers are based on hard benchmark figures, which is the best/only way to understand facts.
** Why Metarank ? ** – Their great presentation at Berlin Buzzwords: https://lnkd.in/eqifGvjH – Recommendations, personalization, and re-ranking – Modern with ML models like cross-encoders –
— The embedding model — The demo uses the MiniLM-L6-v2 embeddings model https://lnkd.in/eCwAzH_h, installed on a self-hosted Weaviate Kubernetes cluster. This model is considered to have
Personal playlist of Youtube tutorials for Sentence transformers from my journey to add automated fine-tuning to WooCommerce with Weaviate and Metarank Labs: https://lnkd.in/eRHshF_E Sentence transformers produce new embeddings from BERT embeddings
Introduction Building a recommender system is a complex task that requires careful planning and consideration. However, there are some common mistakes that developers often make
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What is unique and I love foremost with Vespa.ai‘s presentations is their intensive use of benchmarks. — Why is BM25 still relevant? — But oddly
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Introduction Algolia is a powerful search and discovery platform that provides developers with a wide range of features for implementing a robust search functionality in
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The future of search engines is rapidly evolving, and one of the key elements driving this change is the emergence of large language models. These
Introduction Search engines play a crucial role in quickly retrieving relevant information from the vast amount of data available on the internet. However, traditional keyword-based
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Introduction Neural search algorithms have revolutionized the way we uncover hidden patterns in data. These algorithms leverage the power of artificial neural networks to analyze
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Introduction Chatbots, powered by artificial intelligence (AI) and machine learning (ML), have emerged as a game-changer in numerous industries. One such sector that has witnessed
Introduction Elasticsearch is a highly scalable, distributed search and analytics engine built on top of Apache Lucene. It is designed to provide real-time, full-text search
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,
Introduction Apache Solr is a popular open-source search platform built on Apache Lucene. It provides powerful and efficient search capabilities for websites and applications. Solr
Introduction In the world of search engines, advancements in Artificial Intelligence (AI) have made it possible for chatbots to revolutionize the search experience. AI-powered chatbots
Introduction In today’s digital age, online shopping has become increasingly popular and convenient. With the vast number of products available, finding the right item at
Introduction Apache Solr is a powerful search engine that is widely used to enhance the search capabilities of web applications. One popular use case is
Introduction Faceted search is a powerful feature that allows users to filter and refine search results based on various attributes or facets. In a WordPress
Introduction The field of search technology has been rapidly evolving over the years with advancements in machine learning and artificial intelligence. As we look towards