Introduction Search technology has entered a new era with the rise of vector embeddings and neural retrieval models. While these approaches offer powerful capabilities, they also introduce complexity, resource overhead, and opaque debugging challenges. At HybrisArchitect.com, we recently implemented a multilingual, natural language–friendly search engine that focuses on PDF document retrieval, integration with SAP Commerce OCC APIs, and a company’s website FAQs. Interestingly, we achieved strong performance using traditional Solr-based search without vector embeddings. One of the impetuses for this article was noticing that many websites providing product specifications in PDF format do not make these files searchable. To address …