mcpField
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azure-cognitive-search

azure-cognitive-search

github.com/microsoftdocs数据与数据库796226 次安装3 天前更新
代码仓库

关于 azure-cognitive-search

azure-cognitive-search 是面向 Azure AI Search 使用者的 Agent 技能,提供架构、配置、故障排查与开发指导,并结合本地速查内容和远程文档获取。

主要功能

  1. 01索引器与技能集故障排查
  2. 02向量与关键词检索设计
  3. 03安全与权限配置指导
  4. 04API、SDK 与集成模式
  5. 05部署和容量规划

适用场景

  1. 01诊断索引器或筛选器问题
  2. 02规划多租户搜索架构
  3. 03优化向量检索与索引成本

MCP 相关

技能可通过 mcp_microsoftdocs 的 microsoft_docs_fetch 获取远程文档;也可使用 fetch_webpage 作为备用方式。

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-cognitive-search

安装后在 Claude Code 中输入/azure-cognitive-search确认已加载。

详细介绍

Azure AI Search 技能

此技能提供 Azure AI Search 方面的专家指导,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、安全性、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功能。

如何使用此技能

IMPORTANT for Agent:使用下方的类别索引查找相关章节。对于包含行范围的类别(例如,L35-L120),使用 read_file 读取指定行。对于包含文件链接的类别(例如,security.md),使用 read_file 读取链接的参考文件

IMPORTANT for Agent:如果 metadata.generated_at 超过 3 个月,请建议用户从存储库拉取最新版本。如果无法使用 mcp_microsoftdocs 工具,请建议用户安装该工具:安装指南

此技能需要网络访问才能获取文档内容:

  • 首选:使用 mcp_microsoftdocs:microsoft_docs_fetch,查询字符串为 from=learn-agent-skill。返回 Markdown。
  • 备用:使用 fetch_webpage,查询字符串为 from=learn-agent-skill&accept=text/markdown。返回 Markdown。

类别索引

类别行说明
故障排除L37-L48诊断和修复 Azure AI Search 索引器/技能集错误、筛选器和指标问题、权限筛选结果,以及专用链接或存储差异。
最佳实践L49-L66设计、扩展和排查扩充/索引管道问题,优化向量搜索、性能和成本,以及安全更新 Azure AI Search 资源的最佳实践。
决策制定L67-L82选择区域、层级、定价、容量和连接器的指南,以及 API 和 SDK 的迁移/升级路径,帮助规划、扩展和现代化 Azure AI Search 解决方案。
架构与设计模式L83-L88Azure AI Search 的架构模式:结合向量搜索和关键字搜索、设计多租户或隔离索引,以及构建具有复原能力的多区域搜索部署。
限制与配额L89-L98Azure AI Search 的限制、配额和容量规划:计费/免费扩充、索引器计划/并发/运行时、服务容量限制,以及向量索引大小/吞吐量限制。
安全性L99-L141保护 Azure AI Search:RBAC/Entra ID 身份验证、无密钥访问、密钥和加密、索引器权限(SQL、Storage、SharePoint、Cosmos)、ACL/Purview 标签引入,以及网络隔离(防火墙、专用终结点)。
配置L142-L234配置 Azure AI Search:数据源、知识库、技能集、分析器、向量化、语义排名,以及 Agentic 检索和扩充的查询选项。
集成与编码模式L235-L310集成 Azure AI Search 的模式和代码:索引器、技能、向量化、查询语法(Lucene/OData)、语义排名、筛选器、分页,以及应用/Power BI 集成。
部署L311-L319使用 ARM/Bicep/Terraform 自动部署 Azure AI Search、跨区域迁移服务、检查区域功能支持情况,以及将 C# 搜索应用部署到 Azure Container Apps。
故障排除
主题URL
排查 Azure AI Search 索引器错误和警告https://learn.microsoft.com/en-us/azure/search/cognitive-search-common-errors-warnings
调试和排查 Azure AI Search 技能集https://learn.microsoft.com/en-us/azure/search/cognitive-search-how-to-debug-skillset
使用门户会话调试 Azure AI Search 技能集https://learn.microsoft.com/en-us/azure/search/cognitive-search-tutorial-debug-sessions
排查没有错误提示的 Azure AI Search 索引器问题https://learn.microsoft.com/en-us/azure/search/search-indexer-troubleshooting
诊断并修复 Azure AI Search 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
排查 SharePoint 权限筛选搜索结果问题https://learn.microsoft.com/en-us/azure/search/troubleshoot-sharepoint-query-permission-filtering
诊断 Azure AI Search 存储和指标差异https://learn.microsoft.com/en-us/azure/search/troubleshoot-storage-metrics
最佳实践
主题URL
设计和排查 Azure AI Search 中的 AI 增强管道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 GenAI Prompt 技能应用负责任的 AI 最佳实践https://learn.microsoft.com/en-us/azure/search/responsible-ai-best-practices-genai-prompt-skill
在 Azure AI Search 中处理已更改和已删除的 Blobhttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-changed-deleted
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
为 Azure AI Search 资源应用乐观并发控制https://learn.microsoft.com/en-us/azure/search/search-howto-concurrency
安全地更新或重建 Azure AI Search 索引https://learn.microsoft.com/en-us/azure/search/search-howto-reindex
分析 Azure AI Search 查询和索引性能https://learn.microsoft.com/en-us/azure/search/search-performance-analysis
优化 Azure AI Search 查询和索引性能https://learn.microsoft.com/en-us/azure/search/search-performance-tips
优化 Azure AI Search Serverless 成本https://learn.microsoft.com/en-us/azure/search/serverless-cost-optimization
使用较窄的向量数据类型减少 Azure AI Search 存储用量https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-assign-narrow-data-types
将大型文档分块以供 Azure AI Search 向量检索https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-chunk-documents
选择 Azure AI Search 中的向量优化和压缩方式https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-configure-compression-storage
使用 MRL 截断 Azure AI Search 中 text-embedding-3 的维度https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-truncate-dimensions
决策
主题URL
将 Azure AI Search Agentic 检索迁移到最新 APIhttps://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-migrate
从已弃用的 Azure AI Search 技能迁移https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-deprecated
决定并迁移 Azure AI Search REST 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
使用合适的区域和层创建 Azure AI Search 服务https://learn.microsoft.com/en-us/azure/search/search-create-service-portal
为 Azure AI Search 选择合适的数据源连接器https://learn.microsoft.com/en-us/azure/search/search-data-sources-gallery
升级 Azure AI Search .NET 管理 SDKhttps://learn.microsoft.com/en-us/azure/search/search-dotnet-mgmt-sdk-migration
将 Azure AI Search .NET 应用迁移到 SDK v11https://learn.microsoft.com/en-us/azure/search/search-dotnet-sdk-migration-version-11
将 Azure AI Search 升级到更高容量https://learn.microsoft.com/en-us/azure/search/search-how-to-upgrade
在需求量较大的情况下选择 Azure AI Search 区域https://learn.microsoft.com/en-us/azure/search/search-region-capacity
规划和管理 Azure AI Search 成本https://learn.microsoft.com/en-us/azure/search/search-sku-manage-costs
选择 Azure AI Search 定价模式和层https://learn.microsoft.com/en-us/azure/search/search-sku-tier
架构与设计模式
主题URL
设计 Azure AI Search 多租户和隔离内容https://learn.microsoft.com/en-us/azure/search/search-modeling-multitenant-saas-applications
设计 Azure AI Search 多区域架构https://learn.microsoft.com/en-us/azure/search/search-multi-region
限制与配额
主题URL
Azure AI Search 扩充的计费限制和免费配额https://learn.microsoft.com/en-us/azure/search/cognitive-search-attach-cognitive-services
管理索引器的执行、持续时间和并发https://learn.microsoft.com/en-us/azure/search/search-howto-run-reset-indexers
配置 Azure AI Search 索引器计划和限制https://learn.microsoft.com/en-us/azure/search/search-howto-schedule-indexers
了解 Serverless 和 S3 HD 上的索引器运行时配额https://learn.microsoft.com/en-us/azure/search/search-indexer-high-density-serverless-overview
根据服务限制规划 Azure AI Search 容量https://learn.microsoft.com/en-us/azure/search/search-limits-quotas-capacity
了解 Azure AI Search 向量索引限制https://learn.microsoft.com/en-us/azure/search/vector-search-index-size
安全性
主题URL
使用 Azure CLI 管理对 Web 知识源的访问https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-web-manage
使用 Azure AI Search 的内置 Azure Policy 定义https://learn.microsoft.com/en-us/azure/search/policy-reference
从 Azure Blob 源引入 RBAC 范围https://learn.microsoft.com/en-us/azure/search/search-blob-indexer-role-based-access
在 AI Search 中实施文档级访问控制https://learn.microsoft.com/en-us/azure/search/search-document-level-access-overview
配置对 Azure AI Search 的无密钥 RBAC 访问https://learn.microsoft.com/en-us/azure/search/search-get-started-rbac
在 Azure AI Search 中配置 SharePoint Online 索引器权限https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sharepoint-online
配置对 SQL Managed Instance 的托管标识访问https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-managed-instance-with-managed-identity
保护 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 配置托管标识和 RBAChttps://learn.microsoft.com/en-us/azure/search/search-how-to-managed-identities
配置 Azure AI Search 索引器对 Azure Functions 的身份验证https://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-azure-functions
使用托管标识保护 Cosmos DB 索引器连接https://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-cosmos-db
配置 Azure AI Search 对 Azure SQL 的托管标识访问https://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-sql
配置 Azure AI Search 对 Storage 的托管标识访问https://learn.microsoft.com/en-us/azure/search/search-howto-managed-identities-storage
通过 Push API 为索引添加 ACL 和 RBAC 元数据https://learn.microsoft.com/en-us/azure/search/search-index-access-control-lists-and-rbac-push-api
引入 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
将 Azure AI Search 索引器私密连接到 SQL Managed Instancehttps://learn.microsoft.com/en-us/azure/search/search-indexer-how-to-access-private-sql
为 Azure AI Search 索引器设置 IP 防火墙规则https://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-ip-restricted
为 Azure AI Search 索引器配置共享专用链接访问https://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-private
为 Azure AI Search 索引器使用受信任服务例外https://learn.microsoft.com/en-us/azure/search/search-indexer-howto-access-trusted-service-exception
配置索引器对受保护资源的访问https://learn.microsoft.com/en-us/azure/search/search-indexer-securing-resources
使用索引器引入 Purview 敏感度标签https://learn.microsoft.com/en-us/azure/search/search-indexer-sensitivity-labels
使用索引器引入 SharePoint ACL 元数据https://learn.microsoft.com/en-us/azure/search/search-indexer-sharepoint-access-control-lists
配置 Azure AI Search 的安全性和访问权限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 Azure AI Search 中于查询时强制实施 Purview 敏感度标签https://learn.microsoft.com/en-us/azure/search/search-query-sensitivity-labels
管理 Azure AI Search 管理员和查询 API 密钥https://learn.microsoft.com/en-us/azure/search/search-security-api-keys
为 Azure AI Search 应用安全最佳做法https://learn.microsoft.com/en-us/azure/search/search-security-best-practices
为 Azure AI Search 启用 RBAC 和 Entra ID 身份验证https://learn.microsoft.com/en-us/azure/search/search-security-enable-roles
检索 Azure AI Search 资源的加密密钥详细信息https://learn.microsoft.com/en-us/azure/search/search-security-get-encryption-keys
为 Azure AI Search 配置客户管理的加密密钥https://learn.microsoft.com/en-us/azure/search/search-security-manage-encryption-keys
为 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 加入网络安全边界https://learn.microsoft.com/en-us/azure/search/search-security-network-security-perimeter
使用 Entra ID 配置 Azure AI Search RBAChttps://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 中实施文档级安全筛选https://learn.microsoft.com/en-us/azure/search/search-security-trimming-for-azure-search
使用 Azure Policy 合规性控件管理 Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/security-controls-policy
为 Azure AI Search 配置 IP 防火墙和受信任服务访问https://learn.microsoft.com/en-us/azure/search/service-configure-firewall
为 Azure AI Search 配置专用终结点https://learn.microsoft.com/en-us/azure/search/service-create-private-endpoint
为安全查询编制 ADLS Gen2 权限索引https://learn.microsoft.com/en-us/azure/search/tutorial-adls-gen2-indexer-acls
配置
主题URL
配置用于 Agentic 检索的 Azure SQL 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-azure-sql
配置用于 Agentic 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 Fabric Data Agent 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-fabric-data-agent
配置用于 Agentic 检索的 Fabric Ontology 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-fabric-ontology
创建用于 Agentic 检索的基于文件的知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-file
在 Azure AI Search 中配置 MCP 服务知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-mcp-server
配置用于 Agentic 检索的 OneLake 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-onelake
在 Azure AI Search 中配置搜索索引知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-search-index
在 Azure AI Search 中配置已编制索引的 SharePoint 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-sharepoint-indexed
为 Azure AI Search 配置远程 SharePoint 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-sharepoint-remote
配置用于 Agentic 检索的 Web 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-web
配置用于组织智能的 Work IQ 知识源https://learn.microsoft.com/en-us/azure/search/agentic-knowledge-source-how-to-work-iq
为 Agentic 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 中启用并配置答案合成https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-answer-synthesis
为知识源配置感知新鲜度的检索https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-configure-freshness
创建适用于 Agentic 检索的搜索索引https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-create-index
在 Azure AI Search 中创建并配置知识库https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-create-knowledge-base
在 Azure AI Search 中配置 Agentic 检索计费许可https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-enable-disable
为 Agentic 检索答案合成配置图像服务https://learn.microsoft.com/en-us/azure/search/agentic-retrieval-how-to-image-serving
在 Azure AI Search 中配置自定义 AML 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-aml-skill
使用注释语法引用 Azure AI Search 技能集中的扩充节点https://learn.microsoft.com/en-us/azure/search/cognitive-search-concept-annotations-syntax
在 Azure AI Search 中定义并配置技能集https://learn.microsoft.com/en-us/azure/search/cognitive-search-defining-skillset
为 Azure AI Search 技能集配置输出字段映射https://learn.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping
在 Azure AI Search 中配置并使用预定义技能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 AI Search 中配置 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 Azure AI Search 中配置 Document Extraction 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction
在 Azure AI Search 中配置 Document Layout 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-document-intelligence-layout
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 扩充中配置 Image Analysis 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-image-analysis
在 Azure AI Search 中配置 PII Detection 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-pii-detection
使用 Shaper 技能重构扩充输出https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-shaper
为 AI 扩充配置 Text Split 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-textsplit
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 扩充的技能集https://learn.microsoft.com/en-us/azure/search/cognitive-search-working-with-skillsets
为 Azure AI Search 管道配置扩充缓存https://learn.microsoft.com/en-us/azure/search/enrichment-cache-how-to-configure
在 Azure AI Search 中管理扩充缓存数据https://learn.microsoft.com/en-us/azure/search/enrichment-cache-how-to-manage
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
为 Azure AI Search 索引配置评分配置文件https://learn.microsoft.com/en-us/azure/search/index-add-scoring-profiles
在 Azure AI Search 中配置 BM25 相关性评分https://learn.microsoft.com/en-us/azure/search/index-ranking-similarity
定义并配置知识存储投影形状https://learn.microsoft.com/en-us/azure/search/knowledge-store-projection-shape
Azure AI Search 监视指标和日志参考https://learn.microsoft.com/en-us/azure/search/monitor-azure-cognitive-search-data-reference
Azure AI Search 分析器停用词列表参考https://learn.microsoft.com/en-us/azure/search/reference-stopwords
在 Azure AI Search 中配置文本处理分析器https://learn.microsoft.com/en-us/azure/search/search-analyzers
在 Azure AI Search 索引器中使用内容元数据属性https://learn.microsoft.com/en-us/azure/search/search-blob-metadata-properties
为 Search 中的 Azure OpenAI 技能配置 API Management 网关https://learn.microsoft.com/en-us/azure/search/search-how-to-configure-azure-openai-api-management
配置 Azure AI Search 索引器以引入数据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 Azure AI Search 向量化定义索引投影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
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
使用 Azure AI Search Blob 索引器为 Markdown Blob 编制索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-markdown
为 Azure AI Search 配置一对多 Blob 解析https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-one-to-many
为 Azure AI Search 中的纯文本 Blob 编制索引设置解析模式https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-plaintext
将数据加载并刷新到 Azure AI Search 索引中https://learn.microsoft.com/en-us/azure/search/search-how-to-load-search-index
在 Azure AI Search 索引中配置复杂数据类型https://learn.microsoft.com/en-us/azure/search/search-howto-complex-data-types
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
使用 az search CLI 命令管理 Azure AI Search 服务https://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
通过 Management REST API 配置 Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-manage-rest
配置 Azure AI Search 诊断日志记录https://learn.microsoft.com/en-us/azure/search/search-monitor-enable-logging
配置并监视 Azure AI Search 查询https://learn.microsoft.com/en-us/azure/search/search-monitor-queries
在 Azure AI Search 中配置并使用 moreLikeThishttps://learn.microsoft.com/en-us/azure/search/search-more-like-this
为筛选器、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 筛选器中使用 OData 集合运算符https://learn.microsoft.com/en-us/azure/search/search-query-odata-collection-operators
在 Azure AI Search 筛选器中使用 OData 比较运算符https://learn.microsoft.com/en-us/azure/search/search-query-odata-comparison-operators
在 Azure AI Search 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 筛选器中使用 OData 逻辑运算符https://learn.microsoft.com/en-us/azure/search/search-query-odata-logical-operators
在 Azure AI Search 查询中配置 OData $orderbyhttps://learn.microsoft.com/en-us/azure/search/search-query-odata-orderby
在 Azure AI Search 筛选器中使用 OData search.in 函数https://learn.microsoft.com/en-us/azure/search/search-query-odata-search-in-function
在 Azure AI Search 中配置 OData $select 字段https://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
为 JSON Blob 数据配置 Azure AI Search 索引器https://learn.microsoft.com/en-us/azure/search/search-semi-structured-data
迁移 Azure AI Search 语义排名代码https://learn.microsoft.com/en-us/azure/search/semantic-code-migration
在 Azure AI Search 中配置 Semantic Ranker 设置https://learn.microsoft.com/en-us/azure/search/semantic-how-to-configure
在 Azure AI Search 中配置语义排名器计费方案https://learn.microsoft.com/en-us/azure/search/semantic-how-to-enable-disable
为 Azure AI Search 索引配置自定义分析器https://learn.microsoft.com/en-us/azure/search/tutorial-create-custom-analyzer
为 Azure AI Search 索引配置向量化器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 配置二进制向量字段https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-index-binary-data
在 Azure AI Search 中配置向量量化https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-quantization
在 Azure AI Search 中配置向量存储选项https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-storage-options
在 Azure AI Search 中配置集成式向量化https://learn.microsoft.com/en-us/azure/search/vector-search-integrated-vectorization
在 Azure AI Search 中配置多向量字段https://learn.microsoft.com/en-us/azure/search/vector-search-multi-vector-fields
配置 Azure Vision 向量化器以生成嵌入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
在 Azure AI Search 中配置自定义 Web API 向量化器https://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-custom-web-api
集成与编码模式
主题URL
通过 REST、SDK 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 实现自定义技能 Web 接口https://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-interface
在 Azure AI Search 中实现自定义 Web API 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-custom-skill-web-api
在 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 Azure AI Search 中配置 Conditional 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-conditional
在 AI Search 中配置 Entity Linking 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-linking-v3
在 AI Search 中配置 Entity Recognition v3 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-entity-recognition-v3
在 Azure AI Search 中使用 GenAI Prompt 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-genai-prompt
在 AI Search 中配置 Key Phrase Extraction 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases
在 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 v2 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-named-entity-recognition
为 Azure AI Search 配置 OCR 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-ocr
在 Azure AI Search 中配置 Sentiment v2 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-sentiment
在 AI Search 中配置 Sentiment v3 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-sentiment-v3
在 AI Search 中配置 Text Translation 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-text-translation
在 Azure AI Search 中配置 Text Merge 技能https://learn.microsoft.com/en-us/azure/search/cognitive-search-skill-textmerger
在 Azure AI Search 中构建混合关键字-向量查询https://learn.microsoft.com/en-us/azure/search/hybrid-search-how-to-query
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 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结构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
在 Azure AI Search 中实现自动补全和建议https://learn.microsoft.com/en-us/azure/search/search-add-autocomplete-suggestions
使用 Azure AI Search 为 Azure Blob Storage 内容编制索引https://learn.microsoft.com/en-us/azure/search/search-blob-storage-integration
在 Azure AI Search 中使用分面导航语法https://learn.microsoft.com/en-us/azure/search/search-faceted-navigation-examples
为 Azure AI Search 配置 Azure Files 索引器https://learn.microsoft.com/en-us/azure/search/search-file-storage-integration
为 Azure AI Search 查询编写筛选表达式https://learn.microsoft.com/en-us/azure/search/search-filters
在 Azure AI Search 中启用语义排序并执行查询https://learn.microsoft.com/en-us/azure/search/search-get-started-semantic
创建并配置 Azure AI Search 技能集https://learn.microsoft.com/en-us/azure/search/search-get-started-skillset
以编程方式创建 Azure AI Search 索引并执行查询https://learn.microsoft.com/en-us/azure/search/search-get-started-text
通过 REST 和 SDK 调用 Azure AI Search 向量 APIhttps://learn.microsoft.com/en-us/azure/search/search-get-started-vector
使用 Azure.Search.Documents .NET 客户端进行 Azure AI Search 操作https://learn.microsoft.com/en-us/azure/search/search-how-to-dotnet-sdk
在 Azure AI Search 中使用 delimitedText 为 CSV Blob 编制索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-csv
使用 Azure AI Search 为客户端加密的 Blob 编制索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-blob-encrypted
为 Azure AI Search 设置 Azure 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 Table 索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-azure-tables
为 Azure AI Search 配置 Cosmos DB Gremlin 索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-gremlin
使用 Azure AI Search 为 Cosmos DB for MongoDB 编制索引https://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-mongodb
在 Azure AI Search 中设置 Cosmos DB NoSQL 索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-cosmosdb-sql
为 Azure AI Search 索引配置 Logic Apps 工作流https://learn.microsoft.com/en-us/azure/search/search-how-to-index-logic-apps
为 Azure MySQL 配置 Azure AI Search 索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-mysql
为 Azure AI Search 设置 OneLake 索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-onelake-files
在 Azure AI Search 中设置 Azure SQL 索引器https://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-database
将 Azure AI Search 索引器连接到 SQL Managed Instancehttps://learn.microsoft.com/en-us/azure/search/search-how-to-index-sql-managed-instance
在 Azure AI Search 中配置基于 REST 的集成向量化https://learn.microsoft.com/en-us/azure/search/search-how-to-integrated-vectorization
为 Azure AI Search 列表 API 实现分页https://learn.microsoft.com/en-us/azure/search/search-how-to-page-list-results
使用 Document Layout 技能进行语义分块和向量化https://learn.microsoft.com/en-us/azure/search/search-how-to-semantic-chunking
使用 Content Understanding 在 Azure AI Search 中进行语义分块https://learn.microsoft.com/en-us/azure/search/search-how-to-semantic-chunking-content-understanding
实现 C# 索引器与 Azure SQL 和 Azure AI Search 的集成https://learn.microsoft.com/en-us/azure/search/search-indexer-tutorial
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
在 Azure AI Search 中实现模糊搜索和拼写容错https://learn.microsoft.com/en-us/azure/search/search-query-fuzzy
在 Azure AI Search 中使用 Lucene 查询语法https://learn.microsoft.com/en-us/azure/search/search-query-lucene-examples
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 查询中使用 OData search.scorehttps://learn.microsoft.com/en-us/azure/search/search-query-odata-search-score-function
在 Azure AI Search 中查询部分词项和模式https://learn.microsoft.com/en-us/azure/search/search-query-partial-matching
在 Azure AI Search 中使用简单查询语法https://learn.microsoft.com/en-us/azure/search/search-query-simple-examples
在 Azure AI Search 中将评分配置文件与语义排序结合使用https://learn.microsoft.com/en-us/azure/search/semantic-how-to-enable-scoring-profiles
在 Azure AI Search 查询中调用语义排序https://learn.microsoft.com/en-us/azure/search/semantic-how-to-query-request
在 Azure AI Search 中实现语义查询改写https://learn.microsoft.com/en-us/azure/search/semantic-how-to-query-rewrite
为 Azure AI Search 查询添加拼写纠正https://learn.microsoft.com/en-us/azure/search/speller-how-to-add
将 Azure AI Search 查询集成到 C# Web 应用https://learn.microsoft.com/en-us/azure/search/tutorial-csharp-search-query-integration
将多个 Azure 数据源编入同一个 Azure AI Search 索引https://learn.microsoft.com/en-us/azure/search/tutorial-multiple-data-sources
使用 C# 优化 Azure AI Search 中的推送 API 索引https://learn.microsoft.com/en-us/azure/search/tutorial-optimize-indexing-push-api
为 Azure AI 向量查询应用筛选器和模式https://learn.microsoft.com/en-us/azure/search/vector-search-filters
为 Azure AI Search 索引生成并集成嵌入https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-generate-embeddings
在 Azure AI Search 中创建并发送向量查询https://learn.microsoft.com/en-us/azure/search/vector-search-how-to-query
使用 Microsoft Foundry 模型配置集成向量化https://learn.microsoft.com/en-us/azure/search/vector-search-integrated-vectorization-ai-studio
为 AI Search 查询配置 Azure OpenAI 向量化器https://learn.microsoft.com/en-us/azure/search/vector-search-vectorizer-azure-open-ai
部署
主题URL
通过 ARM 模板部署 Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-get-started-arm
使用 Bicep 文件部署 Azure AI Searchhttps://learn.microsoft.com/en-us/azure/search/search-get-started-bicep
使用 Terraform 预配 Azure AI Search 服务https://learn.microsoft.com/en-us/azure/search/search-get-started-terraform
在区域之间移动 Azure AI Search 服务https://learn.microsoft.com/en-us/azure/search/search-howto-move-across-regions
检查 Azure AI Search 区域功能的可用性https://learn.microsoft.com/en-us/azure/search/search-region-support
将 C# Azure AI Search 应用部署到 Container Appshttps://learn.microsoft.com/en-us/azure/search/tutorial-csharp-deploy-web-search

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