What problem does it solve? Analysts and engineers need a safe, read-only way to explore and query SQL databases in Microsoft Fabric without risking accidental data or schema modifications, while navigating the differences between the OLTP endpoint and the SQL analytics endpoint. ## Core Features & Use Cases - Agentic Schema Discovery: Run ordered sqlcmd queries to list schemas, tables, columns, constraints, indexes, and programmability objects before formulating queries. - Endpoint-Aware Querying: Choose between the OLTP endpoint (vector search, stored procedures, temporal queries, RLS enforcement) and the SQL analytics endpoint (cross-database queries, heavy aggregation, BI workloads). - Advanced Query Patterns: Execute vector similarity search for RAG scenarios, JSON parsing with OPENJSON/FOR JSON, temporal point-in-time queries, and security policy inspection (RLS, roles, permissions, audit logs). - Use Case: Ask the assistant to explore a Fabric SQL database, find tables containing customer embeddings, and run a vector similarity query to retrieve the most semantically similar records for a RAG application. ## Quick Start Ask the assistant to list all user tables with row counts in your Fabric SQL database using sqlcmd.