Add Connection
SQL execution endpoints — databases Claude queries directly.
Saved Connections
Global rules applied to every project — brand colors, coding preferences, design conventions. Shared across all workspaces.
Project-specific context — data quirks, schema notes, findings. Only applies to this project.
When a keyword appears in a query, its associated context is injected automatically. Use for metrics, column names, or SQL snippets.
Saved SQL queries stored as vector embeddings. Claude surfaces these when answering similar questions. Built automatically from Looker/Databricks ingestion or saved manually via dante_save_pattern.
Data Management
Embedding ingestion, SQL processing, and API credentials for external integrations.
Generate semantic embeddings from dashboard charts and data sources. These embeddings help the AI find relevant past queries and patterns.
Use AI to strip BI-platform noise from raw SQL, improving embedding quality. This runs as a post-processing step on existing embeddings.
Find and merge semantically similar embeddings to reduce redundancy and improve retrieval quality.
Status
A snapshot of what dante knows right now — your active database connection and accumulated knowledge.