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Azure AI Search Skill

Azure AI Search Skill

This skill provides expert guidance for Azure AI Search. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
本Skill为Azure AI Search提供专家指导，涵盖故障排除、最佳实践、决策制定、架构与设计模式、限制与配额、安全、配置、集成与编码模式以及部署。它结合了本地快速参考内容与远程文档获取能力。

How to Use This Skill

如何使用此Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., 
L35-L120
), use 
read_file
with the specified lines. For categories with file links (e.g., 
[security.md](security.md)
), use 
read_file
on the linked reference file
IMPORTANT for Agent: If 
metadata.generated_at
is more than 3 months old, suggest the user pull the latest version from the repository. If 
mcp_microsoftdocs
tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
  • Preferred: Use 
    mcp_microsoftdocs:microsoft_docs_fetch
    with query string 
    from=learn-agent-skill
    . Returns Markdown.
  • Fallback: Use 
    fetch_webpage
    with query string 
    from=learn-agent-skill&accept=text/markdown
    . Returns Markdown.
Agent重要提示：使用下方的分类索引定位相关章节。对于带有行范围的分类（例如
L35-L120
），使用
read_file
读取指定行。对于带有文件链接的分类（例如
[security.md](security.md)
），使用
read_file
读取链接的参考文件
Agent重要提示：如果
metadata.generated_at
超过3个月，建议用户从仓库拉取最新版本。如果
mcp_microsoftdocs
工具不可用，建议用户安装：安装指南
本Skill需要网络访问权限以获取文档内容：
  • 首选方式：使用
    mcp_microsoftdocs:microsoft_docs_fetch
    ，查询字符串为
    from=learn-agent-skill
    ，返回Markdown格式内容。
  • 备用方式：使用
    fetch_webpage
    ，查询字符串为
    from=learn-agent-skill&accept=text/markdown
    ，返回Markdown格式内容。

Category Index

分类索引

CategoryLinesDescription
TroubleshootingL37-L48Diagnosing and fixing Azure AI Search indexer/skillset issues, debug sessions, OData filter errors, and private link problems, including cases with warnings or no explicit errors.
Best PracticesL49-L69Best practices for indexing, enrichment, chunking, vectors, performance, concurrency, and safe updates in Azure AI Search, including RAG, custom skills, and responsible GenAI usage.
Decision MakingL70-L81Guidance on upgrading/migrating Azure AI Search skills/SDKs, estimating capacity, choosing pricing tiers, and planning costs and hardware for search workloads
Architecture & Design PatternsL82-L88Architectural guidance for Azure AI Search: RAG patterns, knowledge store design, multitenancy and tenant isolation, and multi-region/high-availability deployment designs.
Limits & QuotasL89-L98Limits, quotas, and behaviors for Azure AI Search services, indexers, enrichment, and vector indexes, plus a .NET tutorial that illustrates index size and loading constraints.
SecurityL99-L138Securing Azure AI Search: auth (keys/RBAC), encryption (CMK), network isolation (firewalls, private endpoints), and indexer access to protected data with ACL/RBAC and Purview labels.
ConfigurationL139-L229Configuring Azure AI Search: data sources, indexes, analyzers, vector/semantic settings, skillsets/enrichment, knowledge bases, monitoring, and indexer/connection options.
Integrations & Coding PatternsL230-L292Patterns and code for integrating Azure AI Search with apps and data sources, building indexers, custom skills/vectorizers, OData/Lucene queries, semantic/agentic retrieval, and knowledge store/BI flows.
DeploymentL293-L300Deploying and moving Azure AI Search services: ARM/Bicep/Terraform provisioning, cross-region migration steps, and checking regional/feature availability.
分类行号描述
故障排除L37-L48诊断并修复Azure AI Search索引器/技能集问题、调试会话、OData筛选器错误和专用链接问题，包括带有警告或无明确错误的情况。
最佳实践L49-L69Azure AI Search中索引、内容增强、分块、向量、性能、并发和安全更新的最佳实践，包括RAG、自定义技能和负责任的生成式AI使用。
决策制定L70-L81Azure AI Search技能/SDK升级/迁移、容量估算、定价层选择以及搜索工作负载的成本和硬件规划指南
架构与设计模式L82-L88Azure AI Search的架构指南：RAG模式、知识存储设计、多租户与租户隔离，以及多区域/高可用性部署设计。
限制与配额L89-L98Azure AI Search服务、索引器、内容增强和向量索引的限制、配额及行为，还有一个说明索引大小和加载约束的.NET教程。
安全L99-L138保护Azure AI Search：身份验证（密钥/RBAC）、加密（CMK）、网络隔离（防火墙、专用端点），以及索引器通过ACL/RBAC和Purview标签访问受保护数据的方法。
配置L139-L229配置Azure AI Search：数据源、索引、分析器、向量/语义设置、技能集/内容增强、知识库、监控，以及索引器/连接选项。
集成与编码模式L230-L292Azure AI Search与应用和数据源集成的模式与代码、构建索引器、自定义技能/向量化器、OData/Lucene查询、语义/智能检索，以及知识存储/BI流程。
部署L293-L300部署和迁移Azure AI Search服务：ARM/Bicep/Terraform配置、跨区域迁移步骤，以及检查区域/功能可用性。

Troubleshooting

故障排除

TopicURL
Resolve common Azure AI Search indexer errors and warningshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-common-errors-warnings
Understand Debug Sessions for skillset troubleshootinghttps://learn.microsoft.com/en-us/azure/search/cognitive-search-debug-session
Debug and troubleshoot Azure AI Search skillsetshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-how-to-debug-skillset
Tutorial: Practice debugging Azure AI Search skillsetshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-tutorial-debug-sessions
Resolve common Azure AI Search questions and issueshttps://learn.microsoft.com/en-us/azure/search/search-faq-frequently-asked-questions
Troubleshoot Azure AI Search indexer issues without errorshttps://learn.microsoft.com/en-us/azure/search/search-indexer-troubleshooting
Troubleshoot OData collection filter errors in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-query-troubleshoot-collection-filters
Troubleshoot shared private link resource issues in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/troubleshoot-shared-private-link-resources
主题URL
解决常见Azure AI Search索引器错误和警告https://learn.microsoft.com/en-us/azure/search/cognitive-search-common-errors-warnings
理解用于技能集故障排除的调试会话https://learn.microsoft.com/en-us/azure/search/cognitive-search-debug-session
调试并排查Azure AI Search技能集问题https://learn.microsoft.com/en-us/azure/search/cognitive-search-how-to-debug-skillset
教程：练习调试Azure AI Search技能集https://learn.microsoft.com/en-us/azure/search/cognitive-search-tutorial-debug-sessions
解决常见Azure AI Search问题与疑问https://learn.microsoft.com/en-us/azure/search/search-faq-frequently-asked-questions
排查无错误提示的Azure AI Search索引器问题https://learn.microsoft.com/en-us/azure/search/search-indexer-troubleshooting
排查Azure AI Search中的OData集合筛选器错误https://learn.microsoft.com/en-us/azure/search/search-query-troubleshoot-collection-filters
排查Azure AI Search中的共享专用链接资源问题https://learn.microsoft.com/en-us/azure/search/troubleshoot-shared-private-link-resources

Best Practices

最佳实践

TopicURL
Design tips and troubleshooting for AI enrichment pipelineshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-concept-troubleshooting
Scale and manage custom skills in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-scale
Model SQL relational data for Azure AI Search indexinghttps://learn.microsoft.com/en-us/azure/search/index-sql-relational-data
Apply responsible AI best practices for GenAI Prompt skillhttps://learn.microsoft.com/en-us/azure/search/responsible-ai-best-practices-genai-prompt-skill
Handle changed and deleted blobs in Azure AI Search indexershttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-changed-deleted
Optimize plain text blob indexing with text parsinghttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-plaintext
Optimize large-scale indexing in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-large-index
Chunk and vectorize content by document layouthttps://learn.microsoft.com/en-us/azure/search/search-how-to-semantic-chunking
Model complex and nested data in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-howto-complex-data-types
Apply optimistic concurrency for Azure AI Search resourceshttps://learn.microsoft.com/en-us/azure/search/search-howto-concurrency
Update or rebuild Azure AI Search indexes safelyhttps://learn.microsoft.com/en-us/azure/search/search-howto-reindex
Analyze Azure AI Search query and indexing performancehttps://learn.microsoft.com/en-us/azure/search/search-performance-analysis
Optimize Azure AI Search query and indexing performancehttps://learn.microsoft.com/en-us/azure/search/search-performance-tips
Efficient C# indexing with Azure AI Search Push APIhttps://learn.microsoft.com/en-us/azure/search/tutorial-optimize-indexing-push-api
Chunk large documents for Azure AI Search vector RAGhttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-chunk-documents
Choose vector optimization and compression in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-configure-compression-storage
Truncate embedding dimensions with MRL in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-truncate-dimensions
主题URL
AI内容增强管道的设计技巧与故障排除https://learn.microsoft.com/en-us/azure/search/cognitive-search-concept-troubleshooting
扩展和管理Azure AI Search中的自定义技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-scale
为Azure AI Search索引建模SQL关系型数据https://learn.microsoft.com/en-us/azure/search/index-sql-relational-data
为GenAI Prompt技能应用负责任AI最佳实践https://learn.microsoft.com/en-us/azure/search/responsible-ai-best-practices-genai-prompt-skill
处理Azure AI Search索引器中已更改和已删除的Blobhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-changed-deleted
通过文本解析优化纯文本Blob索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-plaintext
优化Azure AI Search中的大规模索引https://learn.microsoft.com/en-us/azure/search/search-how-to-large-index
按文档布局对内容进行分块和向量化https://learn.microsoft.com/en-us/azure/search/search-how-to-semantic-chunking
在Azure AI Search中建模复杂和嵌套数据https://learn.microsoft.com/en-us/azure/search/search-howto-complex-data-types
为Azure AI Search资源应用乐观并发https://learn.microsoft.com/en-us/azure/search/search-howto-concurrency
安全更新或重建Azure AI Search索引https://learn.microsoft.com/en-us/azure/search/search-howto-reindex
分析Azure AI Search的查询和索引性能https://learn.microsoft.com/en-us/azure/search/search-performance-analysis
优化Azure AI Search的查询和索引性能https://learn.microsoft.com/en-us/azure/search/search-performance-tips
使用Azure AI Search Push API实现高效C#索引https://learn.microsoft.com/en-us/azure/search/tutorial-optimize-indexing-push-api
为Azure AI Search向量RAG分块大型文档https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-chunk-documents
在Azure AI Search中选择向量优化与压缩方式https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-configure-compression-storage
在Azure AI Search中使用MRL截断嵌入维度https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-truncate-dimensions

Decision Making

决策制定

TopicURL
Migrate from deprecated Azure AI Search skillshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-deprecated
Migrate Azure AI Search REST clients to newer API versionshttps://learn.microsoft.com/en-us/azure/search/search-api-migration
Estimate Azure AI Search capacity for indexing and querieshttps://learn.microsoft.com/en-us/azure/search/search-capacity-planning
Choose and use Azure AI Search management SDKshttps://learn.microsoft.com/en-us/azure/search/search-dotnet-mgmt-sdk-migration
Upgrade Azure AI Search .NET apps to SDK v11https://learn.microsoft.com/en-us/azure/search/search-dotnet-sdk-migration-version-11
Upgrade Azure AI Search services to higher-capacity hardwarehttps://learn.microsoft.com/en-us/azure/search/search-how-to-upgrade
Plan and manage Azure AI Search costshttps://learn.microsoft.com/en-us/azure/search/search-sku-manage-costs
Choose the right Azure AI Search pricing tierhttps://learn.microsoft.com/en-us/azure/search/search-sku-tier
主题URL
从已弃用的Azure AI Search技能迁移https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-deprecated
将Azure AI Search REST客户端迁移到更新的API版本https://learn.microsoft.com/en-us/azure/search/search-api-migration
估算Azure AI Search的索引和查询容量https://learn.microsoft.com/en-us/azure/search/search-capacity-planning
选择并使用Azure AI Search管理SDKhttps://learn.microsoft.com/en-us/azure/search/search-dotnet-mgmt-sdk-migration
将Azure AI Search .NET应用升级到SDK v11https://learn.microsoft.com/en-us/azure/search/search-dotnet-sdk-migration-version-11
将Azure AI Search服务升级到更高容量的硬件https://learn.microsoft.com/en-us/azure/search/search-how-to-upgrade
规划和管理Azure AI Search成本https://learn.microsoft.com/en-us/azure/search/search-sku-manage-costs
选择合适的Azure AI Search定价层https://learn.microsoft.com/en-us/azure/search/search-sku-tier

Architecture & Design Patterns

架构与设计模式

TopicURL
Apply RAG patterns with Azure AI Search and generative AIhttps://learn.microsoft.com/en-us/azure/search/retrieval-augmented-generation-overview
Implement multitenancy and content isolation in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-modeling-multitenant-saas-applications
Design multi-region architectures for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-multi-region
主题URL
结合Azure AI Search和生成式AI应用RAG模式https://learn.microsoft.com/en-us/azure/search/retrieval-augmented-generation-overview
在Azure AI Search中实现多租户与内容隔离https://learn.microsoft.com/en-us/azure/search/search-modeling-multitenant-saas-applications
设计Azure AI Search的多区域架构https://learn.microsoft.com/en-us/azure/search/search-multi-region

Limits & Quotas

限制与配额

TopicURL
Attach Foundry resource and understand AI enrichment quotashttps://learn.microsoft.com/en-us/azure/search/cognitive-search-attach-cognitive-services
Run and reset Azure AI Search indexers effectivelyhttps://learn.microsoft.com/en-us/azure/search/search-howto-run-reset-indexers
Schedule Azure AI Search indexers and understand run windowshttps://learn.microsoft.com/en-us/azure/search/search-howto-schedule-indexers
Azure AI Search service limits and quotas by tierhttps://learn.microsoft.com/en-us/azure/search/search-limits-quotas-capacity
Create and load an index in .NET tutorialhttps://learn.microsoft.com/en-us/azure/search/tutorial-csharp-create-load-index
Understand Azure AI Search vector index size limitshttps://learn.microsoft.com/en-us/azure/search/vector-search-index-size
主题URL
关联Foundry资源并了解AI内容增强配额https://learn.microsoft.com/en-us/azure/search/cognitive-search-attach-cognitive-services
高效运行和重置Azure AI Search索引器https://learn.microsoft.com/en-us/azure/search/search-howto-run-reset-indexers
计划Azure AI Search索引器并了解运行窗口https://learn.microsoft.com/en-us/azure/search/search-howto-schedule-indexers
各层级Azure AI Search服务的限制与配额https://learn.microsoft.com/en-us/azure/search/search-limits-quotas-capacity
.NET教程：创建并加载索引https://learn.microsoft.com/en-us/azure/search/tutorial-csharp-create-load-index
了解Azure AI Search向量索引大小限制https://learn.microsoft.com/en-us/azure/search/vector-search-index-size

Security

安全

TopicURL
Enable or disable Web Knowledge Source access at subscription levelhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-web-manage
Use built-in Azure Policy definitions for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/policy-reference
Ingest RBAC scope metadata from Azure Blob Storagehttps://learn.microsoft.com/en-us/azure/search/search-blob-indexer-role-based-access
Configure keyless RBAC authentication for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-get-started-rbac
Secure indexer connections to Azure SQL Managed Instancehttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-managed-instance
Connect Azure SQL Managed Instance with managed identityhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-managed-instance-with-managed-identity
Secure Azure AI Search indexer connections to SQL Server VMshttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-server
Configure managed identities for Azure AI Search outbound connectionshttps://learn.microsoft.com/en-us/azure/search/search-how-to-managed-identities
Secure Azure Functions indexer calls with Easy Authhttps://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-azure-functions
Configure Cosmos DB indexer connections with managed identityhttps://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-cosmos-db
Configure Azure SQL indexer connections with managed identityhttps://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-sql
Connect Azure AI Search indexers to Azure Storage using managed identitieshttps://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-storage
Index documents with ACL and RBAC via Azure AI Search push APIhttps://learn.microsoft.com/en-us/azure/search/search-index-access-control-lists-and-rbac-push-api
Ingest ADLS Gen2 ACL and RBAC metadata with indexershttps://learn.microsoft.com/en-us/azure/search/search-indexer-access-control-lists-and-role-based-access
Configure Azure AI Search indexer access through IP firewallshttps://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-ip-restricted
Enable trusted service exception for Azure AI Search indexershttps://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-trusted-service-exception
Secure indexer access to network-protected resources in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-indexer-securing-resources
Ingest Microsoft Purview sensitivity labels with indexershttps://learn.microsoft.com/en-us/azure/search/search-indexer-sensitivity-labels
Ingest SharePoint ACL metadata with Azure AI Search indexershttps://learn.microsoft.com/en-us/azure/search/search-indexer-sharepoint-access-control-lists
Configure security, access, and performance for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-manage
Enforce ACL and RBAC at query time in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-query-access-control-rbac-enforcement
Enforce Purview sensitivity labels at query timehttps://learn.microsoft.com/en-us/azure/search/search-query-sensitivity-labels
Authenticate to Azure AI Search using admin and query API keyshttps://learn.microsoft.com/en-us/azure/search/search-security-api-keys
Apply security best practices to Azure AI Search serviceshttps://learn.microsoft.com/en-us/azure/search/search-security-best-practices
Enable RBAC for Azure AI Search data plane operationshttps://learn.microsoft.com/en-us/azure/search/search-security-enable-roles
Retrieve CMK encryption key details for search resourceshttps://learn.microsoft.com/en-us/azure/search/search-security-get-encryption-keys
Configure customer-managed keys for Azure AI Search encryptionhttps://learn.microsoft.com/en-us/azure/search/search-security-manage-encryption-keys
Set up cross-tenant CMK encryption for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-security-managed-encryption-cross-tenant
Add Azure AI Search to a network security perimeterhttps://learn.microsoft.com/en-us/azure/search/search-security-network-security-perimeter
Use Azure RBAC roles for Azure AI Search administration and content accesshttps://learn.microsoft.com/en-us/azure/search/search-security-rbac
Configure client applications for keyless RBAC access to Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-security-rbac-client-code
Implement document-level security filters in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-security-trimming-for-azure-search
Use Azure Policy compliance controls for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/security-controls-policy
Configure IP firewall and network access for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/service-configure-firewall
Create private endpoints for secure Azure AI Search accesshttps://learn.microsoft.com/en-us/azure/search/service-create-private-endpoint
Tutorial: Query ADLS Gen2 data with permission-filtered searchhttps://learn.microsoft.com/en-us/azure/search/tutorial-adls-gen2-indexer-acls
主题URL
在订阅级别启用或禁用Web知识源访问https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-web-manage
对Azure AI Search使用内置Azure Policy定义https://learn.microsoft.com/en-us/azure/search/policy-reference
从Azure Blob Storage摄入RBAC范围元数据https://learn.microsoft.com/en-us/azure/search/search-blob-indexer-role-based-access
为Azure AI Search配置无密钥RBAC身份验证https://learn.microsoft.com/en-us/azure/search/search-get-started-rbac
保护索引器与Azure SQL托管实例的连接https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-managed-instance
使用托管标识连接Azure SQL托管实例https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-managed-instance-with-managed-identity
保护Azure AI Search索引器与SQL Server VM的连接https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-server
为Azure AI Search出站连接配置托管标识https://learn.microsoft.com/en-us/azure/search/search-how-to-managed-identities
使用Easy Auth保护Azure Functions索引器调用https://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-azure-functions
使用托管标识配置Cosmos DB索引器连接https://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-cosmos-db
使用托管标识配置Azure SQL索引器连接https://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-sql
使用托管标识将Azure AI Search索引器连接到Azure Storagehttps://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-storage
通过Azure AI Search Push API摄入带有ACL和RBAC的文档https://learn.microsoft.com/en-us/azure/search/search-index-access-control-lists-and-rbac-push-api
使用索引器摄入ADLS Gen2 ACL和RBAC元数据https://learn.microsoft.com/en-us/azure/search/search-indexer-access-control-lists-and-role-based-access
为Azure AI Search索引器配置IP防火墙访问https://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-ip-restricted
为Azure AI Search索引器启用可信服务例外https://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-trusted-service-exception
保护Azure AI Search中索引器对网络受保护资源的访问https://learn.microsoft.com/en-us/azure/search/search-indexer-securing-resources
使用索引器摄入Microsoft Purview敏感度标签https://learn.microsoft.com/en-us/azure/search/search-indexer-sensitivity-labels
使用Azure AI Search索引器摄入SharePoint ACL元数据https://learn.microsoft.com/en-us/azure/search/search-indexer-sharepoint-access-control-lists
为Azure AI Search配置安全、访问和性能设置https://learn.microsoft.com/en-us/azure/search/search-manage
在查询时强制实施ACL和RBAChttps://learn.microsoft.com/en-us/azure/search/search-query-access-control-rbac-enforcement
在查询时强制实施Purview敏感度标签https://learn.microsoft.com/en-us/azure/search/search-query-sensitivity-labels
使用管理员和查询API密钥向Azure AI Search进行身份验证https://learn.microsoft.com/en-us/azure/search/search-security-api-keys
为Azure AI Search服务应用安全最佳实践https://learn.microsoft.com/en-us/azure/search/search-security-best-practices
为Azure AI Search数据平面操作启用RBAChttps://learn.microsoft.com/en-us/azure/search/search-security-enable-roles
检索搜索资源的CMK加密密钥详情https://learn.microsoft.com/en-us/azure/search/search-security-get-encryption-keys
为Azure AI Search加密配置客户管理密钥https://learn.microsoft.com/en-us/azure/search/search-security-manage-encryption-keys
为Azure AI Search配置跨租户CMK加密https://learn.microsoft.com/en-us/azure/search/search-security-managed-encryption-cross-tenant
将Azure AI Search添加到网络安全边界https://learn.microsoft.com/en-us/azure/search/search-security-network-security-perimeter
对Azure AI Search管理和内容访问使用Azure RBAC角色https://learn.microsoft.com/en-us/azure/search/search-security-rbac
为客户端应用配置对Azure AI Search的无密钥RBAC访问https://learn.microsoft.com/en-us/azure/search/search-security-rbac-client-code
在Azure AI Search中实现文档级安全筛选https://learn.microsoft.com/en-us/azure/search/search-security-trimming-for-azure-search
对Azure AI Search使用Azure Policy合规性控制https://learn.microsoft.com/en-us/azure/search/security-controls-policy
为Azure AI Search配置IP防火墙和网络访问https://learn.microsoft.com/en-us/azure/search/service-configure-firewall
创建专用端点以安全访问Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/service-create-private-endpoint
教程：使用权限筛选搜索查询ADLS Gen2数据https://learn.microsoft.com/en-us/azure/search/tutorial-adls-gen2-indexer-acls

Configuration

配置

TopicURL
Set up a blob knowledge source for agentic retrievalhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-blob
Configure an indexed OneLake knowledge source in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-onelake
Configure a search index knowledge source for agentic retrievalhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-search-index
Create an indexed SharePoint knowledge source for agentic retrievalhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-sharepoint-indexed
Configure a remote SharePoint knowledge source via Copilot Retrieval APIhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-sharepoint-remote
Create and configure a Web Knowledge Source for agentic retrievalhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-web
Define knowledge source objects for agentic retrievalhttps://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-overview
Enable answer synthesis in Azure AI Search knowledge baseshttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-answer-synthesis
Create an Azure AI Search index for agentic retrievalhttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-create-index
Configure knowledge bases for Azure AI Search agentic retrievalhttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-create-knowledge-base
Set retrievalReasoningEffort for agentic retrieval workloadshttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-set-retrieval-reasoning-effort
Use annotation syntax to reference enriched nodes in skillsetshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-concept-annotations-syntax
Create skillsets with Azure AI Search REST APIshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-defining-skillset
Configure output field mappings for enriched contenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
Configure built-in skills in Azure AI Search enrichment pipelineshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-predefined-skills
Use skill context and annotation language in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-annotation-language
Configure Azure OpenAI Embedding skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-azure-openai-embedding
Configure Conditional skill in AI Search skillsetshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-conditional
Configure Azure Content Understanding skill for document chunkinghttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-content-understanding
Configure Custom Entity Lookup skill parametershttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-custom-entity-lookup
Control Document Extraction behavior in skillsetshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction
Configure Document Layout skill for Azure AI Search enrichmenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-document-intelligence-layout
Configure Entity Linking v3 skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-linking-v3
Configure Entity Recognition skill v2 in skillsetshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition
Configure Entity Recognition v3 skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition-v3
Configure GenAI Prompt skill for Azure AI Search indexinghttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-genai-prompt
Configure Image Analysis skill in Azure AI Search enrichmenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-image-analysis
Configure Key Phrase Extraction skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases
Configure Language Detection skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-language-detection
Configure Named Entity Recognition skill v2https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-named-entity-recognition
Configure OCR skill for Azure AI Search image text extractionhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-ocr
Configure PII Detection skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-pii-detection
Use Sentiment skill v2 and interpret scoreshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-sentiment
Configure Sentiment v3 skill in Azure AI Search enrichmenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-sentiment-v3
Use Shaper skill to restructure enrichment outputhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-shaper
Configure Text Translation skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-text-translation
Configure Text Merge skill to consolidate fieldshttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-textmerger
Configure Text Split skill for chunking contenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-textsplit
Configure Azure Vision multimodal embeddings skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-vision-vectorize
Design and configure skillsets for AI enrichmenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-working-with-skillsets
Configure enrichment caching for AI pipelines (preview)https://learn.microsoft.com/en-us/azure/search/enrichment-cache-how-to-configure
Manage enrichment cache stored in Azure Storagehttps://learn.microsoft.com/en-us/azure/search/enrichment-cache-how-to-manage
Build hybrid queries combining keyword, vector, and semantic searchhttps://learn.microsoft.com/en-us/azure/search/hybrid-search-how-to-query
Define custom analyzers for Azure AI Search indexeshttps://learn.microsoft.com/en-us/azure/search/index-add-custom-analyzers
Add language analyzers to Azure AI Search fieldshttps://learn.microsoft.com/en-us/azure/search/index-add-language-analyzers
Define and apply scoring profiles in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/index-add-scoring-profiles
Configure suggesters for autocomplete in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/index-add-suggesters
Configure BM25 similarity options in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/index-ranking-similarity
Set up monitoring for Azure AI Search with Azure Monitorhttps://learn.microsoft.com/en-us/azure/search/monitor-azure-cognitive-search
Reference monitoring metrics and logs for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/monitor-azure-cognitive-search-data-reference
Reference stopword lists for Azure AI Search analyzershttps://learn.microsoft.com/en-us/azure/search/reference-stopwords
Configure analyzers for text processing in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-analyzers
Map blob and document metadata into Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-blob-metadata-properties
Configure Azure AI Search indexers for data ingestionhttps://learn.microsoft.com/en-us/azure/search/search-how-to-create-indexers
Define and create search index schemas in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-create-search-index
Configure index projections for chunked and parent-child datahttps://learn.microsoft.com/en-us/azure/search/search-how-to-define-index-projections
Delete documents from Azure AI Search indexes via APIshttps://learn.microsoft.com/en-us/azure/search/search-how-to-delete-documents
Index CSV blobs using delimitedText parsing modehttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-csv
Configure JSON blob parsing for Azure AI Search indexershttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-json
Configure Markdown blob parsing and indexinghttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-markdown
Configure one-to-many blob indexing with parsing modeshttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-one-to-many
Load and refresh data into Azure AI Search indexeshttps://learn.microsoft.com/en-us/azure/search/search-how-to-load-search-index
Configure field mappings for Azure AI Search indexershttps://learn.microsoft.com/en-us/azure/search/search-indexer-field-mappings
Configure private SQL Managed Instance connections for indexershttps://learn.microsoft.com/en-us/azure/search/search-indexer-how-to-access-private-sql
Configure shared private link for Azure AI Search indexershttps://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-private
Manage Azure AI Search with Azure CLIhttps://learn.microsoft.com/en-us/azure/search/search-manage-azure-cli
Manage Azure AI Search with PowerShell scriptshttps://learn.microsoft.com/en-us/azure/search/search-manage-powershell
Configure Azure AI Search using Management REST APIshttps://learn.microsoft.com/en-us/azure/search/search-manage-rest
Configure diagnostic logging for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-monitor-enable-logging
Visualize Azure AI Search logs and metrics in Power BIhttps://learn.microsoft.com/en-us/azure/search/search-monitor-logs-powerbi
Monitor Azure AI Search query performance and volumehttps://learn.microsoft.com/en-us/azure/search/search-monitor-queries
Configure and use moreLikeThis queries in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-more-like-this
Configure text normalizers for filters, facets, and sorthttps://learn.microsoft.com/en-us/azure/search/search-normalizers
Configure synonym maps in Azure AI Search indexeshttps://learn.microsoft.com/en-us/azure/search/search-synonyms
Configure semantic ranking settings on a search indexhttps://learn.microsoft.com/en-us/azure/search/semantic-how-to-configure
Enable or disable semantic ranker in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/semantic-how-to-enable-disable
Combine scoring profiles with semantic ranking resultshttps://learn.microsoft.com/en-us/azure/search/semantic-how-to-enable-scoring-profiles
Create and configure custom analyzers in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/tutorial-create-custom-analyzer
Configure prefilter and postfilter modes for vector querieshttps://learn.microsoft.com/en-us/azure/search/vector-search-filters
Assign narrow data types to Azure AI Search vector fieldshttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-assign-narrow-data-types
Configure vectorizers and vector profiles in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-configure-vectorizer
Configure vector indexes and fields in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-create-index
Index binary vectors for Azure AI Search vector querieshttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-index-binary-data
Configure quantization to compress vectors in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-quantization
Configure vector storage options to remove extra copieshttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-storage-options
Configure integrated vectorization in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-integrated-vectorization
Configure multi-vector fields for long-form and multimodal contenthttps://learn.microsoft.com/en-us/azure/search/vector-search-multi-vector-fields
主题URL
设置用于智能检索的Blob知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-blob
在Azure AI Search中配置已索引的OneLake知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-onelake
配置用于智能检索的搜索索引知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-search-index
创建用于智能检索的已索引SharePoint知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-sharepoint-indexed
通过Copilot检索API配置远程SharePoint知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-sharepoint-remote
创建并配置用于智能检索的Web知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-web
为智能检索定义知识源对象https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-overview
在Azure AI Search知识库中启用答案合成https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-answer-synthesis
为智能检索创建Azure AI Search索引https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-create-index
为Azure AI Search智能检索配置知识库https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-create-knowledge-base
为智能检索工作负载设置retrievalReasoningEfforthttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-set-retrieval-reasoning-effort
使用注释语法在技能集中引用增强节点https://learn.microsoft.com/en-us/azure/search/cognitive-search-concept-annotations-syntax
使用Azure AI Search REST API创建技能集https://learn.microsoft.com/en-us/azure/search/cognitive-search-defining-skillset
为增强内容配置输出字段映射https://learn.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
在Azure AI Search内容增强管道中配置内置技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-predefined-skills
在Azure AI Search中使用技能上下文和注释语言https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-annotation-language
在Azure AI Search中配置Azure OpenAI Embedding技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-azure-openai-embedding
在AI Search技能集中配置Conditional技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-conditional
为文档分块配置Azure Content Understanding技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-content-understanding
配置Custom Entity Lookup技能参数https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-custom-entity-lookup
在技能集中控制Document Extraction行为https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction
为Azure AI Search内容增强配置Document Layout技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-document-intelligence-layout
在Azure AI Search中配置Entity Linking v3技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-linking-v3
在技能集中配置Entity Recognition技能v2https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition
在Azure AI Search中配置Entity Recognition v3技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition-v3
为Azure AI Search索引配置GenAI Prompt技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-genai-prompt
在Azure AI Search内容增强中配置Image Analysis技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-image-analysis
在Azure AI Search中配置Key Phrase Extraction技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases
在Azure AI Search中配置Language Detection技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-language-detection
配置Named Entity Recognition技能v2https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-named-entity-recognition
为Azure AI Search图像文本提取配置OCR技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-ocr
在Azure AI Search中配置PII Detection技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-pii-detection
使用Sentiment技能v2并解读分数https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-sentiment
在Azure AI Search内容增强中配置Sentiment v3技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-sentiment-v3
使用Shaper技能重构增强输出https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-shaper
在Azure AI Search中配置Text Translation技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-text-translation
配置Text Merge技能以合并字段https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-textmerger
配置Text Split技能以分块内容https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-textsplit
在Azure AI Search中配置Azure Vision多模态嵌入技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-vision-vectorize
设计并配置用于AI内容增强的技能集https://learn.microsoft.com/en-us/azure/search/cognitive-search-working-with-skillsets
为AI管道配置增强缓存（预览版）https://learn.microsoft.com/en-us/azure/search/enrichment-cache-how-to-configure
管理存储在Azure Storage中的增强缓存https://learn.microsoft.com/en-us/azure/search/enrichment-cache-how-to-manage
构建结合关键词、向量和语义搜索的混合查询https://learn.microsoft.com/en-us/azure/search/hybrid-search-how-to-query
为Azure AI Search索引定义自定义分析器https://learn.microsoft.com/en-us/azure/search/index-add-custom-analyzers
为Azure AI Search字段添加语言分析器https://learn.microsoft.com/en-us/azure/search/index-add-language-analyzers
在Azure AI Search中定义并应用评分配置文件https://learn.microsoft.com/en-us/azure/search/index-add-scoring-profiles
为Azure AI Search配置自动补全提示器https://learn.microsoft.com/en-us/azure/search/index-add-suggesters
在Azure AI Search中配置BM25相似度选项https://learn.microsoft.com/en-us/azure/search/index-ranking-similarity
使用Azure Monitor设置Azure AI Search监控https://learn.microsoft.com/en-us/azure/search/monitor-azure-cognitive-search
参考Azure AI Search的监控指标和日志https://learn.microsoft.com/en-us/azure/search/monitor-azure-cognitive-search-data-reference
参考Azure AI Search分析器的停用词列表https://learn.microsoft.com/en-us/azure/search/reference-stopwords
为Azure AI Search中的文本处理配置分析器https://learn.microsoft.com/en-us/azure/search/search-analyzers
将Blob和文档元数据映射到Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-blob-metadata-properties
为数据摄入配置Azure AI Search索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-create-indexers
在Azure AI Search中定义并创建搜索索引架构https://learn.microsoft.com/en-us/azure/search/search-how-to-create-search-index
为分块和父子数据配置索引投影https://learn.microsoft.com/en-us/azure/search/search-how-to-define-index-projections
通过API从Azure AI Search索引中删除文档https://learn.microsoft.com/en-us/azure/search/search-how-to-delete-documents
使用delimitedText解析模式索引CSV Blobhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-csv
为Azure AI Search索引器配置JSON Blob解析https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-json
配置Markdown Blob解析与索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-markdown
使用解析模式配置一对多Blob索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-one-to-many
向Azure AI Search索引加载并刷新数据https://learn.microsoft.com/en-us/azure/search/search-how-to-load-search-index
为Azure AI Search索引器配置字段映射https://learn.microsoft.com/en-us/azure/search/search-indexer-field-mappings
为索引器配置专用SQL托管实例连接https://learn.microsoft.com/en-us/azure/search/search-indexer-how-to-access-private-sql
为Azure AI Search索引器配置共享专用链接https://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-private
使用Azure CLI管理Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-manage-azure-cli
使用PowerShell脚本管理Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-manage-powershell
使用管理REST API配置Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-manage-rest
为Azure AI Search配置诊断日志https://learn.microsoft.com/en-us/azure/search/search-monitor-enable-logging
在Power BI中可视化Azure AI Search日志和指标https://learn.microsoft.com/en-us/azure/search/search-monitor-logs-powerbi
监控Azure AI Search查询性能和量https://learn.microsoft.com/en-us/azure/search/search-monitor-queries
在Azure AI Search中配置并使用moreLikeThis查询https://learn.microsoft.com/en-us/azure/search/search-more-like-this
为筛选、分面和排序配置文本规范化器https://learn.microsoft.com/en-us/azure/search/search-normalizers
在Azure AI Search索引中配置同义词映射https://learn.microsoft.com/en-us/azure/search/search-synonyms
在搜索索引上配置语义排名设置https://learn.microsoft.com/en-us/azure/search/semantic-how-to-configure
在Azure AI Search中启用或禁用语义排名器https://learn.microsoft.com/en-us/azure/search/semantic-how-to-enable-disable
将评分配置文件与语义排名结果结合https://learn.microsoft.com/en-us/azure/search/semantic-how-to-enable-scoring-profiles
在Azure AI Search中创建并配置自定义分析器https://learn.microsoft.com/en-us/azure/search/tutorial-create-custom-analyzer
为向量查询配置预筛选和后筛选模式https://learn.microsoft.com/en-us/azure/search/vector-search-filters
为Azure AI Search向量字段分配窄数据类型https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-assign-narrow-data-types
在Azure AI Search中配置向量化器和向量配置文件https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-configure-vectorizer
在Azure AI Search中配置向量索引和字段https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-create-index
为Azure AI Search向量查询索引二进制向量https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-index-binary-data
在Azure AI Search中配置量化以压缩向量https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-quantization
配置向量存储选项以移除额外副本https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-storage-options
在Azure AI Search中配置集成向量化https://learn.microsoft.com/en-us/azure/search/vector-search-integrated-vectorization
为长文本和多模态内容配置多向量字段https://learn.microsoft.com/en-us/azure/search/vector-search-multi-vector-fields

Integrations & Coding Patterns

集成与编码模式

TopicURL
Migrate agentic retrieval REST API integrations to latest versionhttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-migrate
Query Azure AI Search knowledge bases via retrieve API and MCPhttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-retrieve
Use Chat Completion skill for image captioning in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/chat-completion-skill-example-usage
Configure AML custom skill in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-aml-skill
Create a Bing Entity Search custom skill for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/cognitive-search-create-custom-skill-example
Implement custom skill interface for Azure AI Search enrichmenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-interface
Implement Custom Web API skill for enrichmenthttps://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-web-api
Connect Azure AI Search knowledge stores to Power BIhttps://learn.microsoft.com/en-us/azure/search/knowledge-store-connect-power-bi
Create Azure AI Search knowledge stores via REST APIshttps://learn.microsoft.com/en-us/azure/search/knowledge-store-create-rest
Implement complex projection shapes for knowledge storeshttps://learn.microsoft.com/en-us/azure/search/knowledge-store-projection-example-long
Define knowledge store projections in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/knowledge-store-projections-examples
Use Lucene query syntax with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/query-lucene-syntax
Construct OData expressions for Azure AI Search querieshttps://learn.microsoft.com/en-us/azure/search/query-odata-filter-orderby-syntax
Use simple query syntax in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/query-simple-syntax
Integrate Azure Blob Storage content with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-blob-storage-integration
Index Azure Files shares with Azure AI Search (preview)https://learn.microsoft.com/en-us/azure/search/search-file-storage-integration
Implement agentic retrieval with Azure AI Search and Azure OpenAIhttps://learn.microsoft.com/en-us/azure/search/search-get-started-agentic-retrieval
Programmatically implement full-text search with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-get-started-text
Use Python SDK and REST APIs for vector searchhttps://learn.microsoft.com/en-us/azure/search/search-get-started-vector
Use Azure.Search.Documents .NET SDK for search operationshttps://learn.microsoft.com/en-us/azure/search/search-how-to-dotnet-sdk
Index client-side encrypted blobs using custom skillshttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-encrypted
Set up Azure Blob indexer for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-storage
Configure Azure Data Lake Gen2 indexer for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-data-lake-storage
Index Azure Table Storage data with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-tables
Index Azure Cosmos DB Gremlin data with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-gremlin
Index Azure Cosmos DB for MongoDB with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-mongodb
Index Azure Cosmos DB NoSQL data with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-sql
Use Azure Logic Apps workflows for automated indexinghttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-logic-apps
Index Azure Database for MySQL with Azure AI Search (preview)https://learn.microsoft.com/en-us/azure/search/search-how-to-index-mysql
Configure OneLake files indexer for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-onelake-files
Set up SharePoint Online indexer for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-sharepoint-online
Configure Azure SQL indexer for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-database
Use integrated vectorization with Azure AI Search REST APIshttps://learn.microsoft.com/en-us/azure/search/search-how-to-integrated-vectorization
Index Markdown blobs with Azure AI Search REST APIshttps://learn.microsoft.com/en-us/azure/search/search-markdown-data-tutorial
Use OData collection operators any/all in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-collection-operators
Use OData comparison operators in Azure AI Search filtershttps://learn.microsoft.com/en-us/azure/search/search-query-odata-comparison-operators
Use OData $filter in Azure AI Search querieshttps://learn.microsoft.com/en-us/azure/search/search-query-odata-filter
Use OData full-text search functions in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-full-text-search-functions
Use OData geo-spatial functions in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-geo-spatial-functions
Use OData logical operators in Azure AI Search filtershttps://learn.microsoft.com/en-us/azure/search/search-query-odata-logical-operators
Use OData $orderby in Azure AI Search querieshttps://learn.microsoft.com/en-us/azure/search/search-query-odata-orderby
Use the OData search.in function in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-search-in-function
Use the OData search.score function in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-search-score-function
Use OData $select in Azure AI Search query resultshttps://learn.microsoft.com/en-us/azure/search/search-query-odata-select
OData expression grammar for Azure AI Search querieshttps://learn.microsoft.com/en-us/azure/search/search-query-odata-syntax-reference
Index semi-structured JSON blobs with Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-semi-structured-data
Index big data from Spark using SynapseML and Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-synapseml-cognitive-services
Migrate semantic ranking API usage to newer versionshttps://learn.microsoft.com/en-us/azure/search/semantic-code-migration
Invoke semantic ranking in Azure AI Search querieshttps://learn.microsoft.com/en-us/azure/search/semantic-how-to-query-request
Use semantic query rewriting in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/semantic-how-to-query-rewrite
Understand .NET search integration code for web appshttps://learn.microsoft.com/en-us/azure/search/tutorial-csharp-search-query-integration
Index multiple Azure data sources into one search indexhttps://learn.microsoft.com/en-us/azure/search/tutorial-multiple-data-sources
C# tutorial for building AI enrichment skillsetshttps://learn.microsoft.com/en-us/azure/search/tutorial-skillset
Generate embeddings for Azure AI Search vector indexinghttps://learn.microsoft.com/en-us/azure/search/vector-search-how-to-generate-embeddings
Vectorize content with Microsoft Foundry models in Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-integrated-vectorization-ai-studio
Integrate Azure Vision vectorizer for multimodal searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-ai-services-vision
Configure Foundry model catalog vectorizerhttps://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-azure-machine-learning-ai-studio-catalog
Use Azure OpenAI vectorizer with AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-azure-open-ai
Configure Custom Web API vectorizer for Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-custom-web-api
主题URL
将智能检索REST API集成迁移到最新版本https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-migrate
通过retrieve API和MCP查询Azure AI Search知识库https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-retrieve
在Azure AI Search中使用Chat Completion技能进行图像标题生成https://learn.microsoft.com/en-us/azure/search/chat-completion-skill-example-usage
在Azure AI Search中配置AML自定义技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-aml-skill
为Azure AI Search创建Bing Entity Search自定义技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-create-custom-skill-example
为Azure AI Search内容增强实现自定义技能接口https://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-interface
实现Custom Web API技能以进行内容增强https://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-web-api
将Azure AI Search知识存储连接到Power BIhttps://learn.microsoft.com/en-us/azure/search/knowledge-store-connect-power-bi
通过REST API创建Azure AI Search知识存储https://learn.microsoft.com/en-us/azure/search/knowledge-store-create-rest
为知识存储实现复杂投影形状https://learn.microsoft.com/en-us/azure/search/knowledge-store-projection-example-long
在Azure AI Search中定义知识存储投影https://learn.microsoft.com/en-us/azure/search/knowledge-store-projections-examples
在Azure AI Search中使用Lucene查询语法https://learn.microsoft.com/en-us/azure/search/query-lucene-syntax
为Azure AI Search查询构造OData表达式https://learn.microsoft.com/en-us/azure/search/query-odata-filter-orderby-syntax
在Azure AI Search中使用简单查询语法https://learn.microsoft.com/en-us/azure/search/query-simple-syntax
将Azure Blob Storage内容与Azure AI Search集成https://learn.microsoft.com/en-us/azure/search/search-blob-storage-integration
用Azure AI Search索引Azure Files共享（预览版）https://learn.microsoft.com/en-us/azure/search/search-file-storage-integration
结合Azure AI Search和Azure OpenAI实现智能检索https://learn.microsoft.com/en-us/azure/search/search-get-started-agentic-retrieval
通过编程方式用Azure AI Search实现全文搜索https://learn.microsoft.com/en-us/azure/search/search-get-started-text
使用Python SDK和REST API进行向量搜索https://learn.microsoft.com/en-us/azure/search/search-get-started-vector
使用Azure.Search.Documents .NET SDK进行搜索操作https://learn.microsoft.com/en-us/azure/search/search-how-to-dotnet-sdk
使用自定义技能索引客户端加密Blobhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-encrypted
为Azure AI Search设置Blob索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-storage
为Azure AI Search配置Azure Data Lake Gen2索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-data-lake-storage
用Azure AI Search索引Azure Table Storage数据https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-tables
用Azure AI Search索引Azure Cosmos DB Gremlin数据https://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-gremlin
用Azure AI Search索引Azure Cosmos DB for MongoDB数据https://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-mongodb
用Azure AI Search索引Azure Cosmos DB NoSQL数据https://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-sql
使用Azure Logic Apps工作流实现自动化索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-logic-apps
用Azure AI Search索引Azure Database for MySQL数据（预览版）https://learn.microsoft.com/en-us/azure/search/search-how-to-index-mysql
为Azure AI Search配置OneLake文件索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-onelake-files
为Azure AI Search设置SharePoint Online索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sharepoint-online
为Azure AI Search配置Azure SQL索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-database
使用Azure AI Search REST API进行集成向量化https://learn.microsoft.com/en-us/azure/search/search-how-to-integrated-vectorization
用Azure AI Search REST API索引Markdown Blobhttps://learn.microsoft.com/en-us/azure/search/search-markdown-data-tutorial
在Azure AI Search中使用OData集合运算符any/allhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-collection-operators
在Azure AI Search筛选中使用OData比较运算符https://learn.microsoft.com/en-us/azure/search/search-query-odata-comparison-operators
在Azure AI Search查询中使用OData $filterhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-filter
在Azure AI Search中使用OData全文搜索函数https://learn.microsoft.com/en-us/azure/search/search-query-odata-full-text-search-functions
在Azure AI Search中使用OData地理空间函数https://learn.microsoft.com/en-us/azure/search/search-query-odata-geo-spatial-functions
在Azure AI Search筛选中使用OData逻辑运算符https://learn.microsoft.com/en-us/azure/search/search-query-odata-logical-operators
在Azure AI Search查询中使用OData $orderbyhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-orderby
在Azure AI Search中使用OData search.in函数https://learn.microsoft.com/en-us/azure/search/search-query-odata-search-in-function
在Azure AI Search中使用OData search.score函数https://learn.microsoft.com/en-us/azure/search/search-query-odata-search-score-function
在Azure AI Search查询结果中使用OData $selecthttps://learn.microsoft.com/en-us/azure/search/search-query-odata-select
Azure AI Search查询的OData表达式语法https://learn.microsoft.com/en-us/azure/search/search-query-odata-syntax-reference
用Azure AI Search索引半结构化JSON Blobhttps://learn.microsoft.com/en-us/azure/search/search-semi-structured-data
使用SynapseML和Azure AI Search索引来自Spark的大数据https://learn.microsoft.com/en-us/azure/search/search-synapseml-cognitive-services
将语义排名API使用迁移到更新版本https://learn.microsoft.com/en-us/azure/search/semantic-code-migration
在Azure AI Search查询中调用语义排名https://learn.microsoft.com/en-us/azure/search/semantic-how-to-query-request
在Azure AI Search中使用语义查询重写https://learn.microsoft.com/en-us/azure/search/semantic-how-to-query-rewrite
理解Web应用的.NET搜索集成代码https://learn.microsoft.com/en-us/azure/search/tutorial-csharp-search-query-integration
将多个Azure数据源索引到一个搜索索引https://learn.microsoft.com/en-us/azure/search/tutorial-multiple-data-sources
C#教程：构建AI内容增强技能集https://learn.microsoft.com/en-us/azure/search/tutorial-skillset
为Azure AI Search向量索引生成嵌入https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-generate-embeddings
在Azure AI Search中使用Microsoft Foundry模型向量化内容https://learn.microsoft.com/en-us/azure/search/vector-search-integrated-vectorization-ai-studio
集成Azure Vision向量化器以实现多模态搜索https://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-ai-services-vision
配置Foundry模型目录向量化器https://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-azure-machine-learning-ai-studio-catalog
将Azure OpenAI向量化器与AI Search结合使用https://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-azure-open-ai
为Azure AI Search配置Custom Web API向量化器https://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-custom-web-api

Deployment

部署

TopicURL
Deploy Azure AI Search service using ARM templateshttps://learn.microsoft.com/en-us/azure/search/search-get-started-arm
Deploy Azure AI Search service using Bicephttps://learn.microsoft.com/en-us/azure/search/search-get-started-bicep
Provision Azure AI Search with Terraformhttps://learn.microsoft.com/en-us/azure/search/search-get-started-terraform
Manually move Azure AI Search services across regionshttps://learn.microsoft.com/en-us/azure/search/search-howto-move-across-regions
Check Azure AI Search regional and feature availabilityhttps://learn.microsoft.com/en-us/azure/search/search-region-support
主题URL
使用ARM模板部署Azure AI Search服务https://learn.microsoft.com/en-us/azure/search/search-get-started-arm
使用Bicep部署Azure AI Search服务https://learn.microsoft.com/en-us/azure/search/search-get-started-bicep
使用Terraform配置Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-get-started-terraform
手动跨区域迁移Azure AI Search服务https://learn.microsoft.com/en-us/azure/search/search-howto-move-across-regions
检查Azure AI Search的区域与功能可用性https://learn.microsoft.com/en-us/azure/search/search-region-support