Dante — Context is Everything

01

### The Problem with AI + Data

# Context is Everything

Your AI tools are only as good as the context they have. Today, most organizations are building that context by hand, maintaining lists of tables and SQL queries that go stale the moment someone writes them.

There is a better way.

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### First Principles

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### A Better Way

# Introducing Dante

A two-part system that extracts, maintains, and delivers context to AI coding tools automatically.

FREE / OPEN SOURCE

## Dante-DS

For the individual data scientist

A Python library that creates local context from your BI platforms and warehouse schema. Connects to your dashboards, extracts the SQL behind every chart, and converts it into semantic embeddings that your AI tools can search.

Within minutes, Claude Code or Cursor will have the expertise of your entire analytics team.

$pip install dante-ds
Dante includes a built-in management UI for configuring connections, managing knowledge, and running ingestion.
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### Under the hood

## From dashboards to embeddings.

Dante connects to your BI platforms, extracts the SQL behind every chart, simplifies it, and stores it as a searchable embedding. When you ask a question, the AI finds the closest matching queries and adapts them.

01 CONNECT

#### BI Platform

Looker, Redash, Superset, or your warehouse schema

→
02 EXTRACT

#### Dashboard SQL

Every chart's query, simplified and paired with a natural language question

→
03 EMBED

#### Vector Index

Stored locally. Searched automatically when you ask questions.

The more dashboards your organization has, the more context the AI starts with. No manual curation required.