> 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/table-metadata/manage-metadata-in-the-ui.md).

# Manage metadata in the UI

Actian AI Analyst lets you view and edit all table and column metadata directly from the web interface.

### How to Edit Metadata in the UI

1. **Open Your Data Source**
   * Click **Connections** at the bottom of the sidebar.
   * Click on the relevant database and table.
2. **View Table Metadata**
   * Select the **Metadata** tab.
   * You’ll see two main sections: **Table** and **Columns**.
3. **Edit Table-Level Metadata**
   * **Description for AI Agents:**\
     Write a clear description of the table’s business purpose, key features, and any special considerations.
   * **Common Pitfalls for AI Agents:**\
     Note any data quirks, exceptions, or edge cases that AI Agents should be aware of.
4. **Edit Column-Level Metadata**
   * Click on a column to edit its details:
     * **Description:** What the column represents, and any definitions or business logic.
     * **Data Type:** The data type (e.g., string, bigint, date).
     * **Semantic Type:** Choose the semantic category if available (e.g., NAME, EMAIL).
     * **Rules:** Add validation or rules, if needed.
     * **Visibility:** Use the toggle to hide deprecated or sensitive columns from AI Agents.
5. **Save Changes**
   * After editing, click **Save changes** to apply updates.

***


---

# 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/table-metadata/manage-metadata-in-the-ui.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.
