# Other Connectors & Methods - [Erlang](https://mariadb.com/docs/connectors/other/mariadb-connector-erlang-guide.md): MySQL/OTP is a native Erlang/OTP client for MariaDB and MySQL databases, implementing the MySQL protocol in Erlang with support for transactions, SSL, and parameterized queries. - [Excel Add-in for MariaDB](https://mariadb.com/docs/connectors/other/excel-add-in-for-mariadb.md): Excel Add-in for MariaDB, provided by Devart, enables direct connections between Microsoft Excel and MariaDB to load, refresh, and save database data from a spreadsheet. - [Perfect-MariaDB for Swift](https://mariadb.com/docs/connectors/other/perfect-mariadb-for-swift.md): Perfect-MariaDB is a Swift library and connector for MariaDB, providing source code and documentation for building native Swift applications that connect to MariaDB databases. - [Perl DBI](https://mariadb.com/docs/connectors/other/mariadb-perl-dbi-driver-guide.md): Perl DBI connector overview for MariaDB, introducing the DBD::MariaDB driver as the recommended alternative to DBD::mysql for connecting Perl applications to MariaDB. - [PHP](https://mariadb.com/docs/connectors/other/mariadb-php-connectors-guide.md): PHP connectors for MySQL are generally compatible with MariaDB, and the standard PHP MySQL extensions can be used to connect PHP applications to a MariaDB database. - [RMariaDB: MariaDB Driver for R](https://mariadb.com/docs/connectors/other/rmariadb.md): RMariaDB is a DBI-compliant R package that provides a MariaDB database interface for R, supporting connection, querying, and data manipulation through standard DBI methods. - [Ruby](https://mariadb.com/docs/connectors/other/mariadb-connector-ruby-guide.md): Ruby connector overview for MariaDB, pointing to the mysql2 gem as the recommended library for connecting Ruby applications to MariaDB databases. - [LangChain MariaDB](https://mariadb.com/docs/connectors/other/langchain-mariadb.md): LangChain integration for MariaDB, providing vector stores, chat message history, and natural language query capabilities. - [API Reference](https://mariadb.com/docs/connectors/other/langchain-mariadb/api-reference.md): The langchain-mariadb API reference covers four modules: vector stores, chat message history, expression filters, and translator for natural language to SQL conversion. - [Vector Stores](https://mariadb.com/docs/connectors/other/langchain-mariadb/api-reference/vectorstores.md): MariaDBStore provides a LangChain-compatible vector store backed by MariaDB, supporting similarity search, metadata filtering, and maximal marginal relevance retrieval. - [Chat Message History](https://mariadb.com/docs/connectors/other/langchain-mariadb/api-reference/chat_message_histories.md): MariaDBChatMessageHistory persists LangChain conversation history to a MariaDB database table, providing methods to add, retrieve, and clear messages per session. - [Expression Filters](https://mariadb.com/docs/connectors/other/langchain-mariadb/api-reference/expression_filter.md): Expression filter reference for langchain-mariadb, documenting the operator enum, filter builder classes, and MariaDBFilterExpressionConverter for metadata-based vector queries. - [Translator](https://mariadb.com/docs/connectors/other/langchain-mariadb/api-reference/translator.md): MariaDBTranslator converts LangChain internal query language operations and comparisons into valid MariaDB filter dictionaries for use with structured vector store queries. - [The MariaDB Jupyter kernel](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel.md): The MariaDB Jupyter Kernel lets you run MariaDB directly in Jupyter notebooks. Execute SQL, visualize results with magic commands, and integrate with Python for data analysis. - [About the MariaDB Jupyter Kernel](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/mariadb-juypter-kernel-guide.md): The MariaDB Jupyter Kernel is an open-source Jupyter kernel that enables running MariaDB SQL directly in notebooks, with support for autocompletion, magic commands, and charting. - [Changes in MariaDB Jupyter Kernel](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/changes-in-mariadb-jupyter-kernel.md): Release history for the MariaDB Jupyter Kernel, covering SQL autocompletion, code introspection, multi-notebook server management, and other fixes from v0.1.0 onward. - [Configuring the MariaDB Jupyter Kernel](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/configuring-the-mariadb-jupyter-kernel.md): The MariaDB Jupyter Kernel reads connection settings from a JSON config file, supporting options for host, port, credentials, server binary paths, and auto-start behavior. - [Contributing to the MariaDB Jupyter Kernel Project](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/contributing-to-the-mariadb-jupyter-kernel-project.md): Contributing guide for the MariaDB Jupyter Kernel project, covering how to set up a development environment, run tests, format code, and add new magic commands. - [MariaDB Jupyter Kernel Installation](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/mariadb-jupyter-kernel-installation.md): Install the MariaDB Jupyter Kernel via pip using either a quick setup for existing environments or a complete Miniconda-based setup, with platform support notes for Linux and macOS. - [The MariaDB Jupyter Kernel - Main Components and Architecture](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/the-mariadb-jupyter-kernel-main-components-and-architecture.md): MariaDB Jupyter Kernel architecture and component reference, describing how MariaDBKernel, MariaDBClient, CodeParser, MagicFactory, and related classes interact at runtime. - [Using the MariaDB Jupyter Kernel](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/using-the-kernel.md): General usage information, available features, available magic commands - [General MariaDB Jupyter Kernel Usage Information](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/using-the-kernel/general-mariadb-jupyter-kernel-usage-information.md): General usage guide for the MariaDB Jupyter Kernel, explaining how to open a notebook, select the kernel, try it via MyBinder, and work with sample notebooks on GitHub. - [MariaDB Jupyter Kernel Magic Commands](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/using-the-kernel/mariadb-jupyter-kernel-magic-commands.md): Magic commands reference for the MariaDB Jupyter Kernel, covering lsmagic, line/bar/pie plot commands, df export, load, and the delimiter cell magic. - [MariaDB Jupyter Kernel Restrictions and Limitations](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/using-the-kernel/mariadb-jupyter-kernel-restrictions-and-limitations.md): Known restrictions of the MariaDB Jupyter Kernel include one SQL statement per cell, single line magic per cell, no mixing of magic and SQL, and required semicolon delimiters. - [SQL Autocompletion and Introspection](https://mariadb.com/docs/connectors/other/mariadb-jupyter-kernel/using-the-kernel/sql-autocompletion-and-introspection.md): The MariaDB Jupyter Kernel provides TAB-triggered SQL autocompletion for keywords, databases, tables, columns, and user accounts, plus SHIFT-TAB introspection for schema and function docs. --- # Agent Instructions: 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. 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