The increasing volume and diversity of biomedical data generated daily from internal and external sources underscores the necessity for High-Quality data products and AI-assisted data consumption. This presentation will demonstrate a curation application that integrates large language models (LLMs) with a human-in-the-loop process to streamline the development of High-Quality data products. We will also explore how these data products facilitate the implementation of AI-driven text query systems, significantly enhancing data accessibility for researchers. This integration allows for effective navigation of complex, multimodal datasets, ultimately improving the efficiency of data consumption and supporting informed decision-making in biomedical research and development.