What is the difference between SearchClient and SearchIndexClient?

SearchClient is used for querying and document operations (CRUD), while SearchIndexClient is used for administrative tasks like managing the search indexes and synonym maps.

Can I use this skill for Vector Search?

Yes, it provides specific patterns for VectorizedQuery, HNSW algorithm configurations, and hybrid search combining keyword and vector results.

How do I create a search index programmatically?

Use the SearchIndexClient along with FieldBuilder to generate index definitions directly from your C# model classes for a type-safe approach.

Does this support Semantic Search?

Absolutely, it includes configurations for semantic ranking, extractive captions, and extractive answers to significantly improve natural language search relevance.

What is the preferred way to authenticate with Azure AI Search in .NET?

Use DefaultAzureCredential from the Azure.Identity package for secure, keyless authentication in production environments.

Azure AI Search for .NET

Name: Azure AI Search for .NET
Author: microsoft

bymicrosoft

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1,777

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Cloud Infrastructure

Integrates Azure AI Search into .NET applications with support for vector, semantic, and hybrid search capabilities.

This skill provides specialized guidance for implementing Azure AI Search (formerly Azure Cognitive Search) using the Azure.Search.Documents .NET SDK. It streamlines the creation and management of search indexes, document indexing, and complex querying patterns including full-text, vector, and semantic ranking. By offering standardized implementation patterns for SearchClient, SearchIndexClient, and SearchIndexerClient, it helps developers build high-performance search experiences while following best practices for authentication, batching, and error handling.

Key Features

01Automated index creation using type-safe FieldBuilder

02Full-text, vector, and hybrid search implementation

031,777 GitHub stars

04Advanced semantic ranking and faceted navigation

05Efficient document CRUD and batch processing

06Secure authentication using DefaultAzureCredential

Use Cases

01Building RAG (Retrieval-Augmented Generation) applications with vector embeddings

02Implementing enterprise-grade search for e-commerce or content catalogs

03Managing search indexers and skillsets for automated data ingestion

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microsoft/skills azure-search-documents-dotnet

For use in Claude.ai and ChatGPT

Download Skill