Connect to Mistral AI Data in Aqua Data Studio

The CData JDBC Driver for Mistral AI integrates Mistral AI data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Mistral AI data through the connection manager and execute queries.

Create a JDBC Data Source

You can use the connection manager to define connection properties and save them in a new JDBC data source. The Mistral AI data source can then be accessed from Aqua Data Studio tools.

1. In Aqua Data Studio, select Register Server from the Servers menu.
2. In the Register Server form, select the 'Generic - JDBC' connection.
3. Enter the following JDBC connection properties:
   • Name: Enter a name for the data source; for example, Mistral AI.
   • Driver Location: Click the Browse button and select the cdata.jdbc.api.jar file, located in the lib subfolder of the installation directory.
   • Driver: Enter the Driver's class name, cdata.jdbc.api.APIDriver.

   • URL: Enter the JDBC URL, which starts with jdbc:api: and is followed by a semicolon-separated list of connection properties.

     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 typical JDBC URL is below:

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

   

Query Mistral AI Data

You can now query the tables exposed.