C# Code Samples - Analyzers & Scoring¶

This directory contains C# implementations for Azure AI Search analyzer and scoring profile examples using the Azure.Search.Documents SDK.

Prerequisites¶

dotnet add package Azure.Search.Documents
dotnet add package Microsoft.Extensions.Configuration
dotnet add package Microsoft.Extensions.Configuration.Json

Configuration¶

Create an appsettings.json file with your Azure AI Search service details:

{
  "SearchServiceName": "your-search-service",
  "SearchAdminKey": "your-admin-key",
  "SearchQueryKey": "your-query-key",
  "SearchIndexName": "analyzer-test-index"
}

Sample Files¶

Core Samples¶

01_BuiltinAnalyzers.cs - Compare built-in analyzers
02_CustomAnalyzers.cs - Create and test custom analyzers
05_BasicScoring.cs - Field weights and basic scoring
Config.cs - Configuration management
Utils.cs - Common utility functions

Running Samples¶

Individual Sample¶

dotnet run 01_BuiltinAnalyzers.cs

Build and Run¶

dotnet build
dotnet run --project AnalyzersScoringSamples

Features Demonstrated¶

Azure.Search.Documents SDK usage
Async/await patterns with proper disposal
Comprehensive error handling and logging
Performance measurement and monitoring
Index management and document operations
Analyzer testing and validation
Scoring profile implementation

Project Structure¶

csharp/
├── README.md
├── Config.cs                    # Configuration management
├── Utils.cs                     # Utility classes and helpers
├── 01_BuiltinAnalyzers.cs      # Built-in analyzer comparison
├── 02_CustomAnalyzers.cs       # Custom analyzer implementation
├── 05_BasicScoring.cs          # Scoring profile examples
├── appsettings.json            # Configuration file
└── AnalyzersScoringSamples.csproj # Project file

Best Practices Demonstrated¶

Proper resource disposal with using statements
Async programming patterns
Configuration management with IConfiguration
Structured logging with ILogger
Exception handling and error recovery
Performance monitoring and metrics collection