> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/MicrosoftDocs/azure-ai-docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure AI Search Tool

> Connect agents to Azure AI Search indexes for enterprise knowledge retrieval with vector, keyword, and hybrid search.

# Azure AI Search Tool

The Azure AI Search tool connects agents to new or existing search indexes, enabling retrieval and summarization of indexed documents to ground agent responses in proprietary content.

## Prerequisites

* Microsoft Foundry agent
* Azure AI Search index with vector search configured
* One or more `Edm.String` (text) fields (searchable and retrievable)
* One or more `Collection(Edm.Single)` (vector) fields (searchable)

## Quick Start

<CodeGroup>
  ```python Python theme={null}
  from azure.ai.projects.models import AzureAISearchTool

  search_tool = AzureAISearchTool(
      connection_id="<connection-id>",
      index_name="products-index"
  )

  agent = project.agents.create_agent(
      model="gpt-4o",
      name="search-agent",
      instructions="Search the products index to answer questions",
      tools=search_tool.definitions,
      tool_resources=search_tool.resources,
  )
  ```
</CodeGroup>

## Search Types

* **Simple**: Basic keyword search
* **Semantic**: AI-enhanced ranking
* **Vector**: Semantic similarity search
* **Hybrid (vector + keyword)**: Combined approach (default)
* **Hybrid + semantic**: Best of all methods

## Setup Process

<Steps>
  <Step title="Create Project Connection">
    Connect your project to Azure AI Search service
  </Step>

  <Step title="Configure Index">
    Ensure index has vector and text fields
  </Step>

  <Step title="Add Tool to Agent">
    Configure agent with search tool
  </Step>
</Steps>

## Limitations

* One index per agent (use multiple agents for multiple indexes)
* Private search requires Standard Setup
* Same tenant requirement for search resource and agent

See [Azure Functions](/foundry/agents/tools/azure-functions) for advanced integrations.