skills.rest
mattgotteiner
mattgotteinerCOMMUNITY
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azure-search-rest

Manage Azure AI Search indexes and documents via REST API with authentication options.

1|Updated Jan 14, 2026
Search Tags:#authentication#semantic-search#rest-api#knowledge-base#vector-search#azure-search-rest#agentic-retrieval
One-click install
npx skills add https://github.com/mattgotteiner/search-agent-skills --skill azure-search-rest
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-search-rest
Source: https://github.com/mattgotteiner/search-agent-skills/tree/main/.github/skills/azure-search-rest
Command: npx skills add https://github.com/mattgotteiner/search-agent-skills --skill azure-search-rest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides expert guidance for interacting with Azure AI Search via the REST API to create, manage, and query search indexes, knowledge bases, knowledge sources, and agentic retrieval workflows. It covers data-plane operations for the 2025-11-01-preview API version and supports authentication with API keys or OAuth tokens.

Core Features & Use Cases

  • REST API operations: Create, update, delete, and query indexes; upload documents; manage knowledge sources and knowledge bases.
  • Agentic retrieval support: Orchestrate multi-source retrieval with LLM-assisted planning and semantic/vector search.
  • Use Case: Build chat-enabled search experiences by provisioning an index, indexing documents, and querying via REST for precise answers.

Quick Start

Example: Create an index named hotels-sample, upload documents, and run a search using the REST endpoints described in this guide.

Frequently Asked Questions about azure-search-rest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I call the Azure AI Search REST API to create and query indexes?▼

This skill provides expert guidance for interacting with the Azure AI Search REST API to create, manage, and query search indexes, knowledge bases, and agentic retrieval workflows. It covers operations for the 2025-11-01-preview API version.

What is agentic retrieval and how does it work with Azure AI Search?▼

Agentic retrieval support allows you to orchestrate multi-source retrieval with LLM-assisted planning and semantic/vector search. This enables building chat-enabled search experiences by provisioning an index, indexing documents, and querying via REST.

How do I authenticate REST API requests to Azure AI Search?▼

The skill supports authentication with API keys or OAuth tokens. It guides deterministic REST calls and best practices for authentication, endpoint construction, and response handling.

Can I manage knowledge bases and knowledge sources using the Azure Search REST API?▼

The skill covers REST API operations to create, update, delete, and query indexes; upload documents; and manage knowledge sources and knowledge bases. It covers data-plane operations for the 2025-11-01-preview API version.

Does Azure AI Search support semantic and vector search via REST endpoints?▼

The skill covers classic search, vector/semantic search, and agentic retrieval flows through the 2025-11-01-preview REST API. It enables automated REST-based management of Azure AI Search resources.

What is the best way to build chat-enabled search experiences with Azure AI Search?▼

You can build chat-enabled search experiences by provisioning an index, indexing documents, and querying via REST for precise answers. The skill provides expert guidance for interacting with Azure AI Search via the REST API.

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