dltHub has been utilizing LanceDB for its "Not-Human" sandbox to efficiently store and search across various data types such as structured tables, text documents, and embeddings, simplifying AI stack management by eliminating the need for multiple databases and complex data movement scripts. LanceDB's integration into their workflow allows for fast iteration and experimentation, supporting both local and cloud environments seamlessly, and enabling customization without requiring new concepts. The recent launch of LanceDB's "Multimodal Lakehouse" with Geneva, a processing engine, enhances this functionality by consolidating processes, allowing transformations to be defined within the database, reducing the need for separate ETL pipelines, and simplifying debugging and experimentation. This consolidation helps streamline AI development by reducing the management overhead associated with traditional database systems and facilitating quick adaptations to new models or processing methods, ultimately allowing developers to focus on feature building rather than database management.