Skills · SkillDevOps & CloudReviewed

azure-search-documents-py

Azure AI Search for Python: vector and hybrid search, semantic ranking, indexing and skillsets.

Kind: Skill
Works with: Claude Code
Languages: Python
Source: microsoft/skills @ 2130750147de
Path: .github/plugins/azure-sdk-python/skills/azure-search-documents-py/SKILL.md
License: MIT
Jobs: Implementation

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# Azure AI Search SDK for Python

Full-text, vector, and hybrid search with AI enrichment capabilities.

## Installation

```bash
pip install azure-search-documents
```

## Environment Variables

```bash
AZURE_SEARCH_ENDPOINT=https://<service-name>.search.windows.net  # Required for all auth methods
AZURE_SEARCH_INDEX_NAME=<your-index-name>  # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
AZURE_SEARCH_API_KEY=<your-api-key>  # Only required for the legacy API-key auth path below
```

## Authentication & Lifecycle

> **🔑 Two rules apply to every code sample below:**
>
> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
>    - Local dev: `DefaultAzureCredential` works as-is.
>    - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=<specific_credential>`) to constrain the credential chain to production-safe credentials.
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