> For the complete documentation index, see [llms.txt](https://docs.wobby.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wobby.ai/connections/catalog.md).

# Data Catalogs

Catalog connections let you bring your organization's governed data definitions directly into Actian AI Analyst. Instead of manually writing glossary terms, you can connect to an enterprise data catalog and automatically sync business terminology, definitions, and metadata into your semantic layer.

## What is a catalog connection?

A catalog connection is a live link between Actian AI Analyst and an external data catalog. Once connected, Actian AI Analyst periodically syncs glossary terms from the catalog — keeping your AI Analysts grounded in the same business definitions your data governance team maintains.

This is different from a [data source connection](/connections/connect-a-data-source.md), which connects to a database or warehouse for querying. A catalog connection does not query your data — it imports business metadata and terminology.

## Supported catalogs

| Catalog                                                                                        | Description                                                                                   |
| ---------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- |
| [Actian Data Intelligence Platform](/connections/catalog/actian-data-intelligence-platform.md) | Cloud-native data catalog with federated knowledge graph, business glossary, and data lineage |

## How it works

1. You connect to your catalog and configure which item types to sync.
2. Actian AI Analyst pulls glossary items (terms, definitions, synonyms, hierarchies) from the catalog on a schedule you control.
3. Synced terms appear in your [Glossary](/semantic-layer/glossary.md) alongside any manually created terms.
4. AI Analysts use those terms automatically when answering questions — no extra configuration needed.

{% hint style="info" %}
Catalog connections are available on most plans. Contact your account team if you don't see the option in your Connections page.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.wobby.ai/connections/catalog.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
