Microsoft Azure AI Search API

Azure AI Search is an enterprise-ready information retrieval system for building search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It provides full text search, vector search, hybrid search, and semantic ranking capabilities through REST APIs and SDKs, enabling developers to build powerful search solutions with AI enrichment, including support for indexers, skillsets, and knowledge mining scenarios.

Documentation

Other Resources

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Pricing
https://azure.microsoft.com/en-us/pricing/details/search/
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APIsJSON
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/apis.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-audit-subscription-resources-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-create-resource-group-and-deploy-from-link-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-create-resource-group-and-verify-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-deploy-template-to-resource-group-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-deploy-then-delete-resource-group-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-deployment-status-and-resource-list-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-find-resources-by-type-and-inspect-group-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-list-providers-and-resources-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-list-resource-groups-and-inventory-resources-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-redeploy-into-existing-group-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-relocate-resource-group-deployment-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-resource-group-lifecycle-tag-and-inventory-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-select-subscription-and-list-resource-groups-workflow.yml
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Arazzo
https://raw.githubusercontent.com/api-evangelist/microsoft-azure/refs/heads/main/arazzo/microsoft-azure-tag-resource-group-workflow.yml

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API entry from apis.yml

apis.yml Raw ↑
aid: microsoft-azure:azure-ai-search-api
name: Microsoft Azure AI Search API
tags:
- Artificial Intelligence
- Cognitive Search
- Search
tags_raw:
- AI
- Cognitive Search
- Search
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://learn.microsoft.com/en-us/azure/search/
properties:
- url: https://learn.microsoft.com/en-us/rest/api/searchservice/
  type: Documentation
- url: https://learn.microsoft.com/en-us/rest/api/searchmanagement/
  type: Documentation
- url: https://azure.microsoft.com/en-us/pricing/details/search/
  type: Pricing
- url: https://azure.microsoft.com/en-us/products/ai-services/ai-search
  type: GettingStarted
description: Azure AI Search is an enterprise-ready information retrieval system for building search experiences
  over private, heterogeneous content in web, mobile, and enterprise applications. It provides full text
  search, vector search, hybrid search, and semantic ranking capabilities through REST APIs and SDKs,
  enabling developers to build powerful search solutions with AI enrichment, including support for indexers,
  skillsets, and knowledge mining scenarios.