Dante — Management UI

## Add Connection

EDITING

SQL execution endpoints — databases Claude queries directly.

Name
Dialect
Host
Port
Database
Schema
User
Password Env Var

## Saved Connections

No connections configured yet.

Free-form context always injected into Claude's memory — business rules, data quirks, definitions, conventions.

When a keyword appears in a query, its associated context is injected automatically. Use for metrics, column names, or SQL snippets.

No keywords defined yet.

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`.

No embeddings saved yet.
Context Ingestion

Generate semantic embeddings from dashboard charts and data sources. These embeddings help the AI find relevant past queries and patterns.

Sources
Limit dashboards Process all dashboards/tables — check to limit (used for testing)
dashboards max
Skip Existing

SQL Simplification

Use AI to strip BI-platform noise from raw SQL, improving embedding quality. This runs as a post-processing step on existing embeddings.

Force re-simplify all

SQL Merge

Find and merge semantically similar embeddings to reduce redundancy and improve retrieval quality.

Similarity 92%

Recent Jobs
No jobs yet.

API Credentials
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### OpenAI

API Key

### Looker — BI platform dashboard ingestion

Base URL
Client ID
Client Secret

### Databricks — dashboard ingestion only

Workspace URL
Personal Access Token

## Status

A snapshot of what dante knows right now — your active database connection and accumulated knowledge.

Loading status...

## Project Config

Settings stored in `.dante/config.yaml` for this project. The default connection tells Claude which database to query when you don't specify one.

Default Connection