Managing structured and third party datasources in the platform is divided into two levels of configuration: Datasource schema-Level and Datasource table-Level. Each level allows users to fine-tune how data context is structured, accessed, and utilized by LLms
Schema-Level Configuration:
Focuses on the overall structure and organization of the datasource.
Users can view, edit, and manage schemas, including adding or removing tables and adjusting global LLM settings schema crosslinking.
Table-Level Configuration:
Provides granular control over individual tables within the schema.
Users can configure table-specific settings such as column mappings, data tupes, cardinality.
These two levels work together to ensure datasources are well-structured, accessible, and tailored for efficient data analysis and reporting. Let me know if you'd like further details!
