> ## Documentation Index
> Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# MariaDB

This page covers how to use the [MariaDB](https://github.com/mariadb/) ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.

## Installation

* Install c/c connector

on Debian, Ubuntu

```bash theme={null}
sudo apt install libmariadb3 libmariadb-dev
```

on CentOS, RHEL, Rocky Linux

```bash theme={null}
sudo yum install MariaDB-shared MariaDB-devel
```

* Install the Python connector package with `pip install mariadb`

## Setup

1. The first step is to have a MariaDB 11.7.1 or later installed.

   The docker image is the easiest way to get started.

## Wrappers

### VectorStore

There exists a wrapper around MariaDB vector databases, allowing you to use it as a vectorstore,
whether for semantic search or example selection.

To import this vectorstore:

```python theme={null}
from langchain_mariadb import MariaDBStore
```

### Usage

For a more detailed walkthrough of the MariaDB wrapper, see [this notebook](/oss/python/integrations/vectorstores/mariadb)