Azure language service

Azure AI Language Skill

This skill provides expert guidance for Azure AI Language. 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.

How to Use This 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.

Category Index

Category	Lines	Description
Troubleshooting	L37-L42	Diagnosing and fixing common issues in Azure Language custom NER and conversational question answering (CQA), including model errors, configuration problems, and troubleshooting workflows.
Best Practices	L43-L54	Best practices for designing and authoring CLU, custom NER, PII, and CQA projects, including data prep, schemas, lifecycles, chitchat personas, and document formatting.
Decision Making	L55-L64	Guides for choosing regions and app types, planning CQA solutions, and deciding or executing migrations from LUIS, QnA Maker, Text Analytics, and Language Studio to Azure Language/Fountry.
Architecture & Design Patterns	L65-L72	Designing and implementing regional failover and high-availability patterns for CLU, custom NER, custom text classification, and orchestration workflow models in Azure AI Language.
Limits & Quotas	L73-L96	Limits, quotas, languages, and supported entities for Azure Language features (CLU, NER, classification, CQA, health), including data size, rate/throughput, training and model lifecycles.
Security	L97-L107	Securing Language/CQA data and access: encryption at rest (incl. CMK), RBAC, managed identities, SAS tokens, and network isolation/Private Link for storage and fine-tuning.
Configuration	L108-L128	Configuring Azure AI Language projects and containers: resources, versioning, NER entities/skills, orchestration intents, CQA behavior/telemetry, health analytics, and storage/security settings.
Integrations & Coding Patterns	L129-L151	How to call Azure AI Language REST/SDK APIs for NER, sentiment, key phrases, entity linking, health/FHIR, CQA/CLU, PII redaction, async workflows, and integration with .NET and Power Automate.
Deployment	L152-L164	Guides for deploying Azure Language services and custom projects (NER, key phrases, sentiment, health, CQA) across regions, Docker/on-prem, and AKS, plus moving CQA between environments.

Troubleshooting

Topic	URL
Resolve common issues with custom NER in Azure Language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/faq
Troubleshoot common CQA issues and errors	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/troubleshooting

Best Practices

Topic	URL
Apply CLU project authoring best practices	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/best-practices
Prepare data and design schema for custom NER models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/design-schema
Adapt PII detection to custom domain terminology	https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/adapt-to-domain-pii
Implement CQA project best practices	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/best-practices
Follow CQA project development lifecycle	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/project-development-lifecycle
Apply authoring best practices to CQA projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/best-practices
Add chitchat personas to CQA projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/chit-chat
Apply document formatting best practices for custom Q&A	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/reference/document-format-guidelines

Decision Making

Topic	URL
Choose Azure regions for Language service features	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/regional-support
Choose CLU app vs orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/app-architecture
Migrate Azure Language Studio projects to Microsoft Foundry	https://learn.microsoft.com/en-us/azure/ai-services/language-service/migration-studio-to-foundry
Plan a CQA app and select Azure resources	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/plan
Decide migration from LUIS and QnA Maker to Azure Language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate
Migrate Text Analytics apps to Azure Language API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate-language-service-latest

Architecture & Design Patterns

Topic	URL
Design regional failover for CLU models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/fail-over
Design regional failover for custom NER models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/fail-over
Design regional failover for custom text classification	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/fail-over
Implement regional failover for orchestration workflow models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/concepts/fail-over

Limits & Quotas

Topic	URL
Data size and rate limits for Azure Language features	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/data-limits
Understand lifecycle timelines for Azure Language models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/model-lifecycle
Use CLU containers with on-premises limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/use-containers
Check CLU supported languages and locales	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/language-support
Reference CLU prebuilt entity components	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/prebuilt-component-reference
Review CLU data and throughput limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/service-limits
Understand training job expiration for custom NER	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/train-model
Check language support matrix for custom text classification	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/language-support
Review data and rate limits for custom text classification	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/service-limits
Check language support for entity linking	https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/language-support
Review language support for Key Phrase Extraction	https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/language-support
Understand NER entity categories and types	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/named-entity-categories
Check language support for the NER feature	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/language-support
Check language support for orchestration workflow projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/language-support
Review data and throughput limits for orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/service-limits
Use PII detection containers with call size limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/use-containers
Understand CQA project and service limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/limits
Review language support for CQA projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/language-support
Use health entity categories in Text Analytics	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/health-entity-categories
Review language support for Text Analytics for health	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/language-support

Security

Topic	URL
Understand data-at-rest encryption in Language service	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/encryption-data-at-rest
Configure RBAC for Azure Language resources	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/role-based-access-control
Configure managed identities for Azure storage access	https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/managed-identities
Create SAS tokens for Azure storage blobs securely	https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/shared-access-signatures
Configure Azure resources for CQA fine-tuning	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/configure-azure-resources
Configure CMK encryption for CQA data at rest	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/encrypt-data-at-rest
Enable network isolation and Private Link for CQA	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/network-isolation

Configuration

Topic	URL
Configure Azure resources for CLU fine-tune models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-azure-resources
Configure Azure Language service containers settings	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-containers
Manage project versioning in conversational language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/custom-features/project-versioning
Use supported data formats for custom NER	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/concepts/data-formats
Create and manage Azure custom NER projects and resources	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/create-project
Use NER entity metadata and resolutions	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/entity-metadata
Map NER entity types and tags across API versions	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/ga-preview-mapping
Configure NER skill parameters and options	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to/skill-parameters
Configure the None intent behavior in orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/concepts/none-intent
Reference list of PII entity categories	https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/concepts/entity-categories-list
Interpret and configure CQA confidence scores	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/confidence-score
Enable and query CQA analytics telemetry	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/analytics
Configure default answer behavior in CQA	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/change-default-answer
Manage CQA project settings and sources	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/manage-knowledge-base
Use assertion detection in Text Analytics for health	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/assertion-detection
Interpret relation extraction output in health analytics	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/relation-extraction
Configure storage, logging, and security for health containers	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/configure-containers

Integrations & Coding Patterns

Topic	URL
Integrate Azure Language via SDK and REST APIs	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/developer-guide
Use Azure Language features asynchronously via API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/use-asynchronously
Call the custom NER prediction API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/call-api
Start building custom NER models via Foundry or REST	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/quickstart
Call the entity linking API with correct parameters	https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/how-to/call-api
Invoke the Key Phrase Extraction API correctly	https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/call-api
Call Azure Language Detection API and interpret scores	https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/how-to/call-api
Implement language detection using SDKs and REST	https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/quickstart
Perform NER using Azure Language APIs	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to-call
Create a .NET app using the NER client library	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/quickstart
Integrate CLU and custom Q&A via orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/tutorials/connect-services
Redact PII from native documents via Azure Language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/redact-document-pii
Automate CQA authoring with REST API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/authoring
Use the CQA prebuilt answering API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/prebuilt
Call sentiment analysis and opinion mining APIs correctly	https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/call-api
Request FHIR-structured output from health analytics	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/fhir
Extract medical information using Text Analytics for health	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/call-api
Call Text Analytics for health via REST and SDKs	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/quickstart
Integrate Azure Language with Power Automate flows	https://learn.microsoft.com/en-us/azure/ai-services/language-service/tutorials/power-automate

Deployment

Topic	URL
Deploy custom language projects to multiple regions	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/custom-features/multi-region-deployment
Deploy custom NER with Docker containers	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/use-containers
Deploy Key Phrase Extraction containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/use-containers
Deploy Azure Language Detection via Docker containers	https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/how-to/use-containers
Run NER Docker containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to/use-containers
Create and deploy a CQA agent in Foundry	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/deploy-agent
Move CQA projects between environments	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/migrate-knowledge-base
Deploy Sentiment Analysis containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/use-containers
Run Text Analytics for health in Docker containers	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/use-containers
Deploy Language key phrase container to AKS	https://learn.microsoft.com/en-us/azure/ai-services/language-service/tutorials/use-kubernetes-service