Enables intelligent KQL query execution against Azure Data Explorer clusters with AI-powered schema caching and natural language to KQL conversion. Provides automated schema discovery and context-aware query assistance for enhanced data exploration.
Enables AI assistants to query and analyze data in Azure Data Explorer, Log Analytics, and Microsoft Sentinel using Kusto Query Language (KQL) through tools, resources, and prompts.
Enables AI assistants to query and explore distributed data across EdgeLake nodes through SQL operations, resource discovery, and schema inspection. Supports complex queries with joins, aggregations, and metadata fields across multiple databases and tables.