azure-search-documents-dotnet
Azure AI Search SDK for .NET (Azure.Search.Documents).
Skill by MicrosoftOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, cloud
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/azure-search-documents-dotnet
What's inside
- Skill name
azure-search-documents-dotnet- Description
- Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET", "SearchClient", "SearchIndexClient", "vector search C#", "semantic search .NET", "hybrid search", "Azure.Search.Documents".
- License
- MIT
- Metadata
- author: Microsoft · package: Azure.Search.Documents · version: 1.0.0
- Instructions
- 340 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- semantic-search.md · references/
- vector-search.md · references/
SKILL.md (first lines)
# Azure.Search.Documents (.NET)
Build search applications with full-text, vector, semantic, and hybrid search capabilities.
## Installation
```bash
dotnet add package Azure.Search.Documents
dotnet add package Azure.Identity
```
**Current Versions**: Stable v11.7.0, Preview v11.8.0-beta.1
## Environment Variables
```bash
SEARCH_ENDPOINT=https://<search-service>.search.windows.net # Required: search service endpoint
SEARCH_INDEX_NAME=<index-name> # Required: search index name
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
SEARCH_API_KEY=<api-key> # Only required for AzureKeyCredential auth
```
## Authentication
**Microsoft Entra Token Credential**:
```csharp
using Azure.Identity;
using Azure.Search.Documents;
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
var credential = new DefaultAzureCredential(
DefaultAzureCredential.DefaultEnvironmentVariableName
);
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
// var credential = new ManagedIdentityCredential();
var client = new SearchClient(
new Uri(Environment.GetEnvironmentVariable("SEARCH_ENDPOINT")),
Environment.GetEnvironmentVariable("SEARCH_INDEX_NAME"),
credential);
```
**API Key**:
```csharp
using Azure;
using Azure.Search.Documents;
var credential = new AzureKeyCredential(
Environment.GetEnvironmentVariable("SEARCH_API_KEY"));
var client = new SearchClient(
new Uri(Environment.GetEnvironmentVariable("SEARCH_ENDPOINT")),
Environment.GetEnvironmentVariable("SEARCH_INDEX_NAME"),
credential);
```
## Client Selection
| Client | Purpose |
|--------|---------|
| `SearchClient` | Query indexes, upload/update/delete documents |
| `SearchIndexClient` | Create/manage indexes, synonym maps |
| `SearchIndexerClient` | Manage indexers, skillsets, data sources |
## Index Creation
### Using FieldBuilder (Recommended)
```csharp
using Azure.Search.Documents.Indexes;
using Azure.Search.Documents.Indexes.Models;
// Define model with attributes
public class Hotel
{
[SimpleField(IsKey = true, IsFilterable = true)]
public string HotelId { get; set; }
[SearchableField(IsSortable = true)]
public string HotelName { get; set; }
[SearchableField(AnalyzerName = LexicalAnalyzerName.EnLucene)]
public string Description { get; set; }
[SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
public double? Rating { get; set; }
[VectorSearchField(VectorSearchDimensions = 1536, VectorSearchProfileName = "vector-profile")]
public ReadOnlyMemory<float>? DescriptionVector { get; set; }
}
// Create index
var indexClient = new SearchIndexClient(endpoint, credential);
var fieldBuilder = new FieldBuilder();
var fields = fieldBuilder.Build(typeof(Hotel));
var index = new SearchIndex("hotels")
{
Fields = fields,
VectorSearch = new VectorSearch
{
Profiles = { new VectorSearchProfile("vector-profile", "hnsw-algo") },
Algorithms = { new HnswAlgorithmConfiguration("hnsw-algo") }
}
};
await indexClient.CreateOrUpdateIndexAsync(index);
```
### Manual Field Definition
```csharp
var index = new SearchIndex("hotels")
{
Fields =
{
new SimpleField("hotelId", SearchFieldDataType.String) { IsKey = true, IsFilterable = true },
new SearchableField("hotelName") { IsSortable = true },
new SearchableField("description") { AnalyzerName = LexicalAnalyzerName.EnLucene },
new SimpleField("rating", SearchFieldDataType.Double) { IsFilterable = true, IsSortable = true },From microsoft/skills, MIT.
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Signals
- Stars
- 3,145
- Forks
- 354
- Open issues
- 26
- Contributors
- 32
- Last commit (this folder)
- May 5, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/microsoft/skills
- Website
- microsoft.github.io/skills/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
azure-search-documents-dotnet skill. Agent Mart. https://agentmart.dev/skills/microsoft-azure-search-documents-dotnet (last updated 2026-10-24)