The QALD-7 challenge focuses on evaluating question answering systems that translate natural language queries into RDF data responses, highlighting various tasks such as multilingual questions, hybrid data integration, large-scale requests, and adaptation to Wikidata. It includes participants who developed innovative components for addressing these challenges, aiming to improve the quality and efficiency of answering queries from linked data. The event also serves as a platform for researchers to benchmark their systems and collaborate on developing solutions for semantic web data.