Connect to Mistral AI Data in JRuby

JRuby is a high-performance, stable, fully threaded Java implementation of the Ruby programming language. The CData JDBC Driver for Mistral AI makes it easy to integrate connectivity to live Mistral AI data in JRuby. This article shows how to create a simple JRuby app that connects to Mistral AI data, executes a query, and displays the results.

Configure a JDBC Connection to Mistral AI Data

Before creating the app, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Mistral AI\lib).

JRuby natively supports JDBC, so you can easily connect to Mistral AI and execute SQL queries. Initialize the JDBC connection with the getConnection function of the java.sql.DriverManager class.

The MistralAI API uses API key authentication.

Using API Key Authentication

Your MistralAI API Key is required to create a connection to MistralAI. API Keys can be obtained from your MistralAI account at console.mistral.ai by navigating to the API Keys section. Once you have obtained the API key, set it in the ProfileSettings connection property.

Example Connection string

Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Mistral AI JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.api.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a typical JDBC connection string for Mistral AI:

jdbc:api:Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;

Create a JRuby App with Connectivity to Mistral AI Data

Create a new Ruby file (for example: APISelect.rb) and open it in a text editor. Copy the following code into your file:

require 'java'
require 'rubygems'
require 'C:/Program Files/CData/CData JDBC Driver for Mistral AI 2018/lib/cdata.jdbc.api.jar'

url = "jdbc:api:Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;"
conn = java.sql.DriverManager.getConnection(url)
stmt = conn.createStatement
rs = stmt.executeQuery("SELECT ,  FROM AudioTranscriptions")
while (rs.next) do
  puts rs.getString(1) + ' ' + rs.getString(2)
end

With the file completed, you are ready to display your Mistral AI data with JRuby. To do so, simply run your file from the command line:

jruby -S APISelect.rb

Writing SQL-92 queries to Mistral AI allows you to quickly and easily incorporate Mistral AI data into your own JRuby applications. Download a free trial today!