Create a Data Access Object for Mistral AI Data using JDBI

JDBI is a SQL convenience library for Java that exposes two different style APIs, a fluent style and a SQL object style. The CData JDBC Driver for Mistral AI integrates connectivity to live Mistral AI data in Java applications. By pairing these technologies, you gain simple, programmatic access to Mistral AI data. This article explains how to build a basic Data Access Object (DAO) and the accompanying code to read Mistral AI data.

Create a DAO for the Mistral AI AudioTranscriptions Entity

The interface below declares the desired behavior for the SQL object to create a single method for each SQL statement to be implemented.

public interface MyAudioTranscriptionsDAO {
  //request specific data from Mistral AI (String type is used for simplicity)
  @SqlQuery("SELECT  FROM AudioTranscriptions WHERE Model = :model")
  String findByModel(@Bind("model") String model);

  /*
   * close with no args is used to close the connection
   */
  void close();
}

Open a Connection to Mistral AI

Collect the necessary connection properties and construct the appropriate JDBC URL for connecting to Mistral AI.

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.

A connection string for Mistral AI will typically look like the following:

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

Use the configured JDBC URL to obtain an instance of the DAO interface. The particular method shown below will open a handle bound to the instance, so the instance needs to be closed explicitly to release the handle and the bound JDBC connection.

DBI dbi = new DBI("jdbc:api:Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;");
MyAudioTranscriptionsDAO dao = dbi.open(MyAudioTranscriptionsDAO.class);

//do stuff with the DAO

dao.close();

Read Mistral AI Data

With the connection open to Mistral AI, simply call the previously defined method to retrieve data from the AudioTranscriptions entity in Mistral AI.

//disply the result of our 'find' method
String  = dao.findByModel("voxtral-mini-latest");
System.out.println();

Since the JDBI library is able to work with JDBC connections, you can easily produce a SQL Object API for Mistral AI by integrating with the CData JDBC Driver for Mistral AI. Download a free trial and work with live Mistral AI data in custom Java applications today.