Datasets

Datasets in Max act as a semantic layer that organizes and structures data from connected sources, making it easier for Max’s language models to interpret and respond to user queries. Built on top of connections, datasets describe the underlying data by identifying key metrics, dimensions, and other important attributes. This allows users to interact with the data using natural language, without needing to understand complex database structures or write SQL queries.

Datasets enable flexible data exploration and analysis, allowing Max to guide users through their data by grounding natural language questions in the dataset’s structure. As data is updated, datasets can be refreshed to ensure they contain the most current values, supporting up-to-date insights and responses.