The Question Generator is a tool within the Haystack framework that automates the process of creating questions from text, allowing for faster and more efficient annotation workflows. This technology uses transformer-based language models to generate fact-seeking questions, taking into account both syntax and semantics. The generator can be used in various applications, including learning material creation, data exploration, and automated annotation of question-answer datasets. By integrating the Question Generator with other Haystack components, such as the Reader, users can create synthetic question answering datasets in a fully automated process. However, it is recommended to use a human-in-the-loop approach to ensure the quality of the generated questions and answers, as this will help identify faulty data and improve model performance. The Question Generator is part of the Haystack NLP framework and can be used for various natural language processing tasks, including question answering, semantic search, summarization, and more.