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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.

This page covers how to use the MariaDB ecosystem within LangChain. It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.

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Installation

  • Install c/c connector
on Debian, Ubuntu 
sudo apt install libmariadb3 libmariadb-dev
on CentOS, RHEL, Rocky Linux 
sudo yum install MariaDB-shared MariaDB-devel
  • Install the Python connector package with pip install mariadb

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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.

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Wrappers

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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: 
from langchain_mariadb import MariaDBStore

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Usage

For a more detailed walkthrough of the MariaDB wrapper, see this notebook