# ❖ AI Connectors

Use the **AI Connectors bundle** to directly connect your database to SDV. This bundle offers a seamless integration with SDV synthesizers, with features that are specifically designed for generative AI.

**⭐️ Detect metadata based on the database schema.** Database schemas contain details about the column names and types of connections between tables. AI Connectors use this information to create [Metadata](https://docs.sdv.dev/sdv/concepts/metadata), which is a higher level specification needed for generative AI.

**⭐️ Import a data subsample that is AI-ready.** The data you input into a generative AI needs to be high quality. For example, it should have high coverage and it should not contain broken links. AI Connectors import a data subsample that is ready for AI.

**⭐️ Export synthetic data in the same format as the original.** Many users want to export synthetic data into a new database for downstream use. AI Connectors ensure that the exported database has the same format as the original database, allowing you to easily access the synthetic data in downstream applications.

## Included Features

This bundle includes AI Connectors for a variety of different databases.

<table data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td align="center">❖ <a href="../../multi-table-data/data-preparation/loading-data/alloydb"><strong>AlloyDB</strong></a></td><td><a href="../../multi-table-data/data-preparation/loading-data/alloydb">alloydb</a></td><td><a href="https://1967107441-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfNxEeZzl9uFiJ4Zf4BRZ%2Fuploads%2FkJ1bOR4AbOLLD1SkiFzg%2FAlloyDB.png?alt=media&#x26;token=cf944e36-a8d7-473f-9938-633d50a770fd">AlloyDB.png</a></td></tr><tr><td align="center">❖<a href="../../multi-table-data/data-preparation/loading-data/bigquery"> <strong>BigQuery</strong></a></td><td><a href="../../multi-table-data/data-preparation/loading-data/bigquery">bigquery</a></td><td><a href="https://1967107441-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfNxEeZzl9uFiJ4Zf4BRZ%2Fuploads%2FuYpWlTYYH1CYOr07wzfG%2FBigQuery.png?alt=media&#x26;token=cd7b2e45-cd8b-4132-a06f-5518ce84f829">BigQuery.png</a></td></tr><tr><td align="center">❖ <a href="../../multi-table-data/data-preparation/loading-data/mssql"><strong>MSSQL</strong></a></td><td><a href="../../multi-table-data/data-preparation/loading-data/mssql">mssql</a></td><td><a href="https://1967107441-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfNxEeZzl9uFiJ4Zf4BRZ%2Fuploads%2FPHBms1a4bQgSdGQKCAoJ%2FMSSQL.png?alt=media&#x26;token=a6f2021f-1cfa-4b09-9243-0173db44fc4a">MSSQL.png</a></td></tr><tr><td align="center">❖ <a href="../../multi-table-data/data-preparation/loading-data/oracle"><strong>Oracle</strong></a></td><td><a href="../../multi-table-data/data-preparation/loading-data/oracle">oracle</a></td><td><a href="https://1967107441-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfNxEeZzl9uFiJ4Zf4BRZ%2Fuploads%2FZfj0JCHAUEh35s1qaTsk%2FOracle.png?alt=media&#x26;token=a8ba5d36-54ef-476c-9557-86a6ecf676f8">Oracle.png</a></td></tr><tr><td align="center">❖ <a href="../../multi-table-data/data-preparation/loading-data/postgresql"><strong>PostgreSQL</strong></a></td><td><a href="../../multi-table-data/data-preparation/loading-data/postgresql">postgresql</a></td><td><a href="https://1967107441-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfNxEeZzl9uFiJ4Zf4BRZ%2Fuploads%2FaoQYOyetcdahpAvL3aAS%2FPostgreSQL.png?alt=media&#x26;token=4ad8e042-3ffd-4af7-98b4-584ac6191884">PostgreSQL.png</a></td></tr><tr><td align="center">❖ <a href="../../multi-table-data/data-preparation/loading-data/spanner"><strong>Spanner</strong></a></td><td><a href="../../multi-table-data/data-preparation/loading-data/spanner">spanner</a></td><td><a href="https://1967107441-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfNxEeZzl9uFiJ4Zf4BRZ%2Fuploads%2FYlYJaZhTyVM24IriuOns%2FSpanner.png?alt=media&#x26;token=6f0a8473-7699-42fa-9783-358ee372bedf">Spanner.png</a></td></tr></tbody></table>

## Installation

Use your SDV Enterprise credentials to install the AI Connectors bundle with the database that you'd like to use (see [the docs](https://docs.sdv.dev/sdv/multi-table-data/data-preparation/loading-data#connect-to-a-database)).

```bash
% pip install sdv-installer --upgrade
% sdv-installer install --package bundle-ai-connectors --options db-bigquery db-mssql
```

```
Username: <email>
License Key: ********************************

Installing Bundles:
bundle-ai-connectors - Installed!

Success! All packages have been installed. You are ready to use SDV Enterprise.
```

{% hint style="info" %}
For more information about installing SDV Enterprise features and bundles, see our [**Enterprise Installation Guide**](https://docs.sdv.dev/sdv-enterprise/sdv-enterprise/installation).
{% endhint %}
