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Connect AI to Databricks for SQL, jobs, and schema exploration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bricks-and-context" yet — see the docs or source repo.
Connect to the Databricks workspace and query total sales by region for the last 30 days, sorted from highest to lowest.
A query result showing sales totals by region in descending order.
Explore the schema of analytics.customer_orders in Databricks and explain field names, types, and possible business meanings.
Detailed schema output with brief explanations of the main fields.
List failed jobs in the Databricks workspace, explain the latest failure reason, and provide guidance for rerunning a specific job.
A list of failed jobs, summarized failure details, and actionable rerun guidance.
Query, analyze, and manage SQL Server databases using natural language.
Search and explore Databricks AWS documentation with semantic search tools.
Explore Databricks metadata, run SQL, and analyze lineage for data discovery.
Build a persistent semantic graph so AI can query complex codebases instantly.
Run, test, and deploy code on Databricks clusters using natural language.
Connect AI to SQLite and query tables using natural language.