> For the complete documentation index, see [llms.txt](https://mariadb.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mariadb.com/docs/server/reference/sql-structure/vectors/vector.md).

# VECTOR

{% hint style="info" %}
`VECTOR` is available from MariaDB 11.7.1.
{% endhint %}

## Syntax

```bnf
VECTOR(N)
```

## Description

The `VECTOR` data type was added as part of the [vectors](/docs/server/reference/sql-structure/vectors.md) feature, which permits MariaDB Server to perform as a relational vector database. `N` represents the fixed number of dimensions of the vector up to a maximum of 16383. The `N` dimension will be determined by the embedding algorithm.

## Example

```sql
CREATE TABLE t1 (id INT AUTO_INCREMENT PRIMARY KEY, v VECTOR(5) NOT NULL,
 VECTOR INDEX (v));
```

## See Also

* [CREATE TABLE with Vectors](/docs/server/reference/sql-structure/vectors/create-table-with-vectors.md)

<sub>*This page is licensed: CC BY-SA / Gnu FDL*</sub>

{% @marketo/form formId="4316" %}


---

# 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://mariadb.com/docs/server/reference/sql-structure/vectors/vector.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.