JavaScript Code Samples - Analyzers & Scoring

This directory contains JavaScript/Node.js implementations for Azure AI Search analyzer and scoring profile examples.

Prerequisites

npm install @azure/search-documents @azure/identity dotenv

Configuration

Create a .env file with your Azure AI Search service details:

SEARCH_SERVICE_NAME=your-search-service
SEARCH_ADMIN_KEY=your-admin-key
SEARCH_QUERY_KEY=your-query-key
SEARCH_INDEX_NAME=analyzer-test-index

Sample Files

Core Samples

• 01_builtin_analyzers.js - Compare built-in analyzers
• 02_custom_analyzers.js - Create and test custom analyzers
• 03_analyzer_testing.js - Comprehensive testing framework
• 04_ngram_autocomplete.js - N-gram analyzers for autocomplete
• 05_basic_scoring.js - Field weights and basic scoring
• 06_advanced_scoring.js - Complex scoring with multiple functions
• 07_location_scoring.js - Geographic distance-based scoring
• 08_performance_optimization.js - Performance testing and optimization

Utility Files

• config.js - Configuration settings
• utils.js - Common utility functions
• run_all_samples.js - Execute all samples in sequence

Running Samples

Individual Sample

node 01_builtin_analyzers.js

All Samples

node run_all_samples.js

Features Demonstrated

• Azure Search Documents SDK usage
• Async/await patterns
• Error handling and logging
• Performance measurement
• Index management
• Analyzer testing
• Scoring profile implementation