# What Is Toucan AI?

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**Target Audience:** Non technical users & Developers
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### TL;DR

A platform for embedding analytics and conversational dashboards into software products using AI-assisted or manual workflows.

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### Core Capabilities

* **Data Connectivity:** Supports SQL databases and data warehouses.
* **Semantic Layer:** Define metrics, dimensions, and relationships for consistent data logic.
* **Visualization:** Generate charts using natural language (AI-assisted) or manual configuration.
* **Integration:** Embed via web components, SDKs, or iframes.
* **Security:** Built-in row-level security (RLS) and role-based access control (RBAC).
* **Deployment:** Available as SaaS or self-hosted via Helm/Docker.

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### When to Use Toucan AI

Choose Toucan AI to:

* Embed analytics into a product with minimal development effort.
* Provide end-users with self-service data exploration.
* Maintain centralized control over data access and compliance.

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### Boundaries

Toucan AI is not:

* A general-purpose BI tool for internal business reporting.
* A data warehouse or ETL (Extract, Transform, Load) platform.
* A standalone "AI add-on" for external legacy dashboards.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
