Introduction As e-commerce evolves, so do user expectations. Today’s customers want more than keyword-based results—they expect intuitive, natural, and personalized product discovery. Traditional search tools like Apache Solr, while dependable, fall short in understanding what users actually mean. That’s why we’ve launched a live beta version of a new Semantic Search experience: semanticsearch.hybrisarchitect.com This beta site completely replaces Solr with an AI-powered search engine designed to understand natural language and deliver results based on intent, not just matching words. Try it with queries like: Show me all digital cameras under 500 dollars Show me all digital cameras under 500 …
Month: June 2025
Rethinking SAP Commerce Search: From Solr to AI-Driven Discovery
Article 1 Title: Why Solr Is No Longer Enough for Modern Commerce Search Introduction I had the opportunity to create a search engine using Retrieval-Augmented Generation (RAG) with OpenAI and in-memory vector datastore. To say that I was impressed is an understatement. I realized that every developer now has the power to build advanced search capabilities tailored to their organization’s needs without relying on legacy keyword search engines. For over a decade, Apache Solr has been the backbone of search functionality in SAP Commerce (Hybris). It excels at keyword indexing, faceted navigation, and performance at scale. But in the age …