# Catalog Schemas **Karini AI** supports integration with a broad range of databases via catalog schemas, including Glue, MySQL, PostgreSQL, Snowflake, Redshift, MS SQL, and Oracle, ensuring streamlined data management across diverse sources. Utilizing its Generative BI capabilities, Karini AI enables users to effectively organize, access, and analyze data, optimizing business intelligence workflows. The platform facilitates the extraction of insights, creation of dashboards, identification of data anomalies, and generation of forecasts, while enhancing data processing and query performance. This integration simplifies data management, offering users advanced, accessible analytics across multiple data silos. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://karini-ai.gitbook.io/karini-ai-documentation/catalog-schemas.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.