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Blazor is a framework for developing modern, client-side web UIs using .NET technology. Instead of coding in JavaScript, developers can use the familiar C# language and .NET libraries to build app UIs.
The CData API Driver for ADO.NET can be used with standard ADO.NET interfaces, such as LINQ and Entity Framework, to interact with live Mistral AI data. Since Blazor supports .NET Core, developers can use CData ADO.NET Providers in Blazor apps. In this article, we will guide you to build a simple Blazor app that talks to Mistral AI using standard SQL queries.
CData ADO.NET Providers allow users to access Mistral AI just like they would access SQL Server, using simple SQL queries.
Install the Mistral AI ADO.NET Data Provider from the CData website or from NuGet. Search NuGet for "Mistral AI ADO.NET Data Provider."
👁 Install ADO.NET Mistral AI Provider from NuGet.Start by creating a Blazor project that references the CData API Driver for ADO.NET
The MistralAI API uses 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.
Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;
For example: Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;
@page "/"
@using System.Data;
@using System.Data.CData.API;
<h1>Hello, world!</h1>
Welcome to your Data app.
<div class="row">
<div class="col-12">
@using (APIConnection connection = new APIConnection(
"Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;"))
{
var sql = "SELECT , FROM AudioTranscriptions WHERE Model = 'voxtral-mini-latest'";
var results = new DataTable();
APIDataAdapter dataAdapter = new APIDataAdapter(sql, connection);
dataAdapter.Fill(results);
<table class="table table-bordered">
<thead class="thead-light">
<tr>
@foreach (DataColumn item in results.Rows[0].Table.Columns)
{
<th scope="col">@item.ColumnName</th>
}
</tr>
</thead>
<tbody>
@foreach (DataRow row in results.Rows)
{
<tr>
@foreach (var column in row.ItemArray)
{
<td>@column.ToString()</td>
}
</tr>
}
</tbody>
</table>
}
</div>
</div>
At this point, you have a Mistral AI-connected Blazor app, capable of working with live Mistral AI data just like you would work with a SQL Server instance. Download a free, 30-day trial and start working with live Mistral AI data in your Blazor apps today.
Connect to live data from Mistral AI with the API Driver
Connect to Mistral AI