Using the CData ODBC Driver for Mistral AI in PyCharm

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Mistral AI from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Mistral AI as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

1. Click File -> Settings to open the project settings window.
2. Click Project Interpreter from the Project: YourProjectName menu.
3. To add pyodbc, click the + button and enter pyodbc.
4. Click Install Package to install pyodbc.

Connect to Mistral AI

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

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;

Below is the syntax for a DSN:

[CData API Source]
Driver = CData ODBC Driver for Mistral AI
Description = My Description
Profile = C:\profiles\MistralAI.apip
ProfileSettings = 'APIKey = my_api_key
'
AuthScheme = APIKey

Execute SQL to Mistral AI

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc

cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for API};Profile = C:\profiles\MistralAI.apip;ProfileSettings = 'APIKey = my_api_key;';AuthScheme = APIKey;')
cursor = cnxn.cursor()
cursor.execute("SELECT ,  FROM AudioTranscriptions WHERE Model = 'voxtral-mini-latest'")
rows = cursor.fetchall()
for row in rows:
  print(row., row.)

After connecting to Mistral AI in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Mistral AI data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].