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AI and Machine Learning
premium
Azure AI Foundry
Create a governed project boundary where AI teams can build agents, evaluations, files, and model deployments without unmanaged sprawl.; Compare, evaluate, and approve model deployments before a generative AI feature is
AI platform
fundamentals
5 commands
Aliases: AI Foundry, Microsoft Foundry, Foundry resource, Foundry project, Azure AI Foundry, azure ai foundry
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AI and Machine Learning
premium
Azure AI Search index
An Azure AI Search index is the place where your application searches. It is not just a pointer to a database or blob container. It is a separate searchable structure with documents, fields, and rules for how text, filters, facets, semantic ranking, and vectors behave. If the index schema is wrong, the search experience feels wrong even when the source data is good. Developers and operators use indexes to make.
AI platform and search
intermediate
5 commands
Aliases: Azure AI Search index, search index, AI Search index, azure-ai-search-index
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AI and Machine Learning
premium
Azure AI Search indexer
An Azure AI Search indexer is the automated worker that fills a search index from another data source. Instead of your application pushing every document into Azure AI Search, the indexer pulls from places such as Blob Storage, Azure SQL, Cosmos DB, or Data Lake Storage. It can map fields, detect changes, crack documents, and run enrichment skills before writing searchable documents. It is useful when source data changes regularly.
AI platform and search
intermediate
5 commands
Aliases: Azure AI Search indexer, search indexer, indexer, azure-ai-search-indexer
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AI and Machine Learning
premium
AI connection
AI connection is a Microsoft Foundry project connection that links the project to an external or Azure resource such as models, storage, search, or services. In everyday Azure work, teams use it to let AI applications and agents use approved resources without every prototype hardcoding endpoints and credentials. The useful evidence is connection name, target
AI platform
intermediate
4 commands
Aliases: Foundry connection, AI project connection, connected resource, AI service connection
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AI and Machine Learning
premium
Azure AI Foundry hub
Azure AI Foundry hub is the classic Foundry hub resource used to group AI projects that share common security, data access, connections, and platform settings. In Azure, teams encounter it when teams need hub-based projects for selected Foundry and Azure Machine Learning scenarios such as fine-tuning, shared connections, and custom ML work. The useful question
AI platform
advanced
4 commands
Aliases: AI Hub, Foundry AI Hub, hub-based project, Azure AI hub
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AI and Machine Learning
premium
Azure AI Foundry project
An Azure AI Foundry project is the working area where a team builds and organizes an AI application inside Microsoft Foundry. It keeps related agents, evaluations, files, indexes, tools, connections, and model usage together instead of scattering them across a shared portal. Think of it as the project boundary for one AI product, prototype, or team. It is useful because AI work quickly becomes messy: prompts, test data, model deployments, safety checks, and access decisions all need a home with ownership and repeatable operations.
AI platform
advanced
4 commands
Aliases: AI Foundry project, AI project, Foundry project, Microsoft Foundry project
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AI and Machine Learning
premium
Azure AI Search data source
Azure AI Search data source is the connection definition an Azure AI Search indexer uses to read content from a supported external data store.
AI platform and search
intermediate
4 commands
Aliases: Search data source, SearchIndexerDataSourceConnection, data source connection, indexer data source, search data source connection
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AI and Machine Learning
premium
Azure AI Search service
Azure AI Search service is the Azure resource that hosts Azure AI Search indexes, indexers, skillsets, keys, capacity, networking, and query endpoints.
AI platform and search
intermediate
4 commands
Aliases: AI Search resource, AI Search service, Azure Search service, Search service, search service
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AI and Machine Learning
premium
Azure AI Search skillset
Azure AI Search skillset is a reusable Azure AI Search enrichment object that applies built-in or custom processing during indexer execution.
AI platform and search
intermediate
4 commands
Aliases: AI enrichment skillset, Search skillset, cognitive skillset, skillset
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AI and Machine Learning
premium
AI services resource
An AI services resource is the Azure resource, commonly Microsoft.CognitiveServices/accounts with kind AIServices, that provides the governance scope for AI service access, networking, billing, monitoring, keys, endpoints, model deployments, projects, and related configuration.
Azure AI services
fundamentals
3 commands
Aliases: Azure AI services resource, Foundry resource, AIServices resource, Cognitive Services account
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AI and Machine Learning
premium
AI token
An AI token is a unit of text processed by a language model. Azure AI and Foundry model quotas, cost, and rate limits commonly use tokens to measure prompt input, generated output, and throughput such as tokens per minute.
Azure OpenAI and Foundry Models
fundamentals
3 commands
Aliases: model token, LLM token, input token, output token, TPM
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AI and Machine Learning
field-manual-complete
Private endpoint for AI service
A private endpoint for an AI service is the private network doorway to an Azure AI services account. Applications still call the service endpoint they are configured to use, but clients inside the linked network can resolve that name to a private IP instead of reaching across a public path. It is useful when document processing, language analysis, speech, content safety, or vision workloads handle sensitive data. It does not replace authentication, keys, managed identity, or responsible AI controls.
AI platform and search
intermediate
5 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Foundry Agent
A Foundry Agent is an AI agent built or hosted in Microsoft Foundry Agent Service with instructions, model selection, tools, knowledge, and runtime execution evidence. Teams use it to automate business tasks that require model reasoning, tool calls, enterprise knowledge, workflow steps, retrieval, approvals, and observable runs inside a governed Azure AI platform. It is not a magic autonomous worker, a security principal by itself, a replacement for process controls, or a safe production feature without tool permissions, evaluation, monitoring, and human escalation.
Microsoft Foundry
intermediate
6 commands
Aliases: Microsoft Foundry agent, Foundry Agent Service agent, AI agent in Foundry, agent service agent
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Analytics
premium
Azure Databricks
A unified, open analytics platform on Azure for building, deploying, sharing, and maintaining enterprise data, analytics, and AI solutions at scale.
Data engineering and AI
intermediate
5 commands
Aliases: Databricks on Azure
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AI and Machine Learning
premium
Chat completion
A AI platform capability in Azure OpenAI that helps teams build, secure, observe, and govern intelligent applications with clearer ownership, safety, and operational context.
Azure OpenAI
fundamentals
5 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Searchable field
A searchable field is an Azure AI Search index field whose text is analyzed and added to the full-text search index. Queries can match tokens from that field at query time, unlike fields used only for filtering, sorting, faceting, or retrieval.
AI platform and search
intermediate
5 commands
Aliases: searchable field, searchable index field, Azure AI Search field attribute, full-text field, searchable attribute
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AI and Machine Learning
premium
Grounding
Grounding is the practice of supplying relevant external information, retrieved content, or tool results so a generative AI model can base its answer on known context.
AI platform and search
intermediate
4 commands
Aliases: AI grounding, model grounding, grounding a prompt
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AI and Machine Learning
premium
Microsoft Foundry
Microsoft Foundry is the Microsoft AI platform experience used to build, evaluate, deploy, and manage AI applications, models, agents, and related project assets. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline.
AI platform
intermediate
4 commands
Aliases: Azure AI Foundry, Foundry, AI Foundry
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AI and Machine Learning
premium
Chunking
Chunking is the process of splitting large documents into smaller text units for indexing, retrieval, embeddings, and downstream AI processing.
AI platform and search
intermediate
3 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Code interpreter tool
An agent tool that can execute code for analysis tasks.
AI platform and search
intermediate
3 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Cognitive services account key
A key used to authenticate to an Azure AI services resource.
AI platform and search
intermediate
3 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Cognitive skill
A AI platform capability in Azure AI Search that helps teams build, secure, observe, and govern intelligent applications with clearer ownership, safety, and operational context.
Azure AI Search
fundamentals
3 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Conversational language understanding
A AI platform capability in Azure AI services that helps teams build, secure, observe, and govern intelligent applications with clearer ownership, safety, and operational context.
Azure AI services
fundamentals
3 commands
Aliases: No aliases yet
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AI and Machine Learning
verified
Optical character recognition
Optical character recognition is an Azure AI capability that extracts printed or handwritten text from images and documents. In Azure Vision and Document Intelligence, Read OCR returns text lines, words, locations, confidence scores, languages, and document-aware structure for downstream search, automation, and analysis.
AI platform and search
intermediate
7 commands
Aliases: OCR, Optical Character Recognition, Azure OCR, Azure AI Vision OCR, Document Intelligence Read, text extraction from images
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AI and Machine Learning
verified
PII detection
PII detection in Azure AI Language identifies, classifies, and can redact sensitive personal information in text, conversations, and native documents. It returns entities, categories, confidence scores, and redacted output so applications can reduce exposure before storage, analytics, sharing, or downstream AI processing.
AI platform and search
intermediate
7 commands
Aliases: Personally identifiable information detection, PII redaction, Azure Language PII detection
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AI and Machine Learning
verified
Provisioned throughput
Provisioned throughput is fixed processing capacity allocated ahead of demand, commonly for Azure AI model deployments that need predictable throughput and latency. Instead of relying only on shared pay-as-you-go capacity, teams assign a measured capacity level and pay for it while deployed.
AI platform and search
intermediate
6 commands
Aliases: No aliases yet
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AI and Machine Learning
verified
Reranker score
A reranker score in Azure AI Search is the @search.rerankerScore value returned after semantic ranking reorders an initial result set. It is separate from @search.score and helps show how strongly the semantic ranker judged a document against the query intent.
AI platform and search
intermediate
6 commands
Aliases: @search.rerankerScore, semantic reranker score, semantic score, Azure AI Search reranker score, reranked relevance score
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AI and Machine Learning
verified
Prompt engineering
Prompt engineering is the craft of asking an AI model for work in a way it can follow reliably. It includes clear instructions, examples, context, boundaries, and required output formats. In Azure OpenAI and Foundry applications, prompt engineering is not magic phrasing; it is application design. A strong prompt explains the task, what evidence to use, what to avoid, and how success will be measured. It still needs testing because one good example does not prove the prompt works everywhere.
AI platform and search
intermediate
5 commands
Aliases: No aliases yet
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AI and Machine Learning
verified
Reciprocal rank fusion
A AI platform capability in Azure AI Search that helps teams build, secure, observe, and govern intelligent applications with clearer ownership, safety, and operational context.
Azure AI Search
fundamentals
5 commands
Aliases: No aliases yet
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AI and Machine Learning
field-manual-complete
Translator
Azure Translator in Foundry Tools is a cloud-based neural machine translation service for building multilingual applications. It translates text and documents across supported languages through REST APIs and SDKs, and it can use custom translation systems for terminology, domain language, and workflow-specific localization.
AI platform and search
intermediate
5 commands
Aliases: Azure Translator, Azure AI Translator, Text Translation, machine translation, document translation
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AI and Machine Learning
template-specs-upgraded
Retrieval tool
Microsoft Learn describes the file search tool for Microsoft Foundry agents as a retrieval tool that lets an agent search uploaded or connected documents, create vector stores, and ground responses in external knowledge. Standard setup uses connected Azure AI Search and Blob Storage resources.
Agents and grounding
intermediate
5 commands
Aliases: file search tool, agent retrieval tool, Foundry retrieval tool, vector store tool, knowledge retrieval tool
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AI and Machine Learning
verified
Prompt flow evaluation
Prompt flow evaluation is a way to test a Prompt Flow run by feeding its outputs into another flow that calculates scores or metrics. Instead of reading every answer manually, teams define evaluation inputs, ground truth, scoring logic, and aggregation. This helps compare prompt variants, measure quality, and decide whether a flow is good enough. In 2026, it is especially relevant for teams maintaining legacy Prompt Flow workloads while planning migration before the announced retirement date.
AI platform
intermediate
4 commands
Aliases: No aliases yet
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AI and Machine Learning
verified
Provisioned throughput unit
A AI platform capability in Azure OpenAI that helps teams build, secure, observe, and govern intelligent applications with clearer ownership, safety, and operational context.
Azure OpenAI
advanced
4 commands
Aliases: No aliases yet
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AI and Machine Learning
field-manual-complete
Vector embedding
A vector embedding is a numeric representation used to compare semantic similarity for search, retrieval, clustering, and AI applications.
AI platform and search
intermediate
4 commands
Aliases: embedding vector, text embedding, semantic embedding, vector representation, AI Search embedding
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AI and Machine Learning
field-manual-ready
Model benchmark
A model benchmark measures model behavior on defined tasks, datasets, metrics, or leaderboards so teams can compare choices.
AI platform and search
intermediate
4 commands
Aliases: No aliases yet
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AI and Machine Learning
field-manual-ready
Model deployment type
Model deployment type describes the hosting, traffic, region, and billing pattern used when a model is made available for inference.
AI platform and search
intermediate
4 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure AI metrics
Azure AI metrics is the measurable signals used to observe Azure AI applications, model endpoints, agents, evaluations, safety checks, and business outcomes.
Azure AI services
intermediate
4 commands
Aliases: AI metrics, AI service metrics, Azure AI Metrics Advisor, Azure Monitor metrics for AI, Metrics Advisor, time series anomaly detection
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Monitoring and Observability
premium
AI service diagnostic settings
AI service diagnostic settings are Azure Monitor settings on an Azure AI or Foundry Tools resource that route resource logs and platform metrics to destinations such as Log Analytics, Storage, or Event Hubs for investigation and retention.
Azure Monitor
intermediate
3 commands
Aliases: Azure AI diagnostic settings, Foundry Tools diagnostic logging, Cognitive Services diagnostic settings, AI resource logs
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AI and Machine Learning
premium
AI services account key
An AI services account key is a secret key for a multi-service Azure AI or Microsoft Foundry resource. It can authenticate requests for supported services tied to that resource, making storage, rotation, and access control especially important.
Azure AI services
intermediate
3 commands
Aliases: multi-service account key, Foundry resource key, AIServices account key, Cognitive Services account key
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AI and Machine Learning
command-rich
Data source in AI Search
Data source in AI Search is documented by Microsoft as part of the Azure AI Search area in Azure.
Azure AI Search
intermediate
6 commands
Aliases: No aliases yet
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Management and Governance
premium
Platform baseline
A platform baseline is the minimum set of governance, security, identity, networking, monitoring, and cost controls an Azure environment should inherit before workloads deploy. It sets standard expectations for subscriptions, landing zones, policy assignments, RBAC, logging, tags, and operational ownership across the estate.
Governance operations
fundamentals
5 commands
Aliases: Azure platform baseline, governance baseline, enterprise platform baseline
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Management and Governance
premium
Platform landing zone
A platform landing zone is the shared Azure foundation that hosts common services for workload landing zones. It commonly includes connectivity, identity integration, management groups, policy, security monitoring, private DNS, logging, and automation so application teams can build on consistent enterprise guardrails.
Governance operations
fundamentals
5 commands
Aliases: Azure platform landing zone, shared platform landing zone, enterprise-scale platform landing zone
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Monitoring and Observability
premium
Platform metrics
Platform metrics are numeric measurements that Azure resources emit and Azure Monitor collects at regular intervals. They describe resource health, capacity, utilization, latency, throughput, failures, and dimensions over time, helping operators chart behavior, create alerts, and diagnose service conditions quickly.
Monitoring
fundamentals
5 commands
Aliases: Azure platform metrics, Azure Monitor platform metrics, resource metrics
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AI and Machine Learning
premium
Azure AI Content Safety
Azure AI Content Safety is the Azure AI service used to detect harmful text and image content before it reaches users, moderators, or automated workflows. In Azure, teams encounter it when applications accept user posts, comments, uploads, prompts, or model outputs that need moderation and policy review. The useful question is what behavior it proves,
Responsible AI
advanced
4 commands
Aliases: Content Safety, Azure Content Safety, harm detection, content moderation API
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AI and Machine Learning
premium
Azure AI Language
Azure AI Language is the Azure natural-language processing service for analyzing and understanding text with prebuilt and customizable language capabilities.
AI services
intermediate
4 commands
Aliases: Azure Language, Azure Language in Foundry Tools, Azure Language service, Language in Foundry Tools, Language service
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AI and Machine Learning
premium
Azure AI Search
Azure AI Search is a managed retrieval service for full-text, vector, hybrid, and semantic search across application and enterprise content. It provides search services, indexes, indexers, skillsets, ranking features, security controls, and APIs used by apps, copilots, and knowledge portals.
Search
fundamentals
4 commands
Aliases: Azure AI Search, AI Search, Azure Cognitive Search, enterprise search, vector search, hybrid search, semantic search, Search service
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AI and Machine Learning
premium
Azure AI services
Azure AI services is the family of Azure cloud AI APIs and resources, surfaced through Foundry Tools, for vision, speech, language, translation, content, and generative scenarios.
AI services
fundamentals
4 commands
Aliases: AI services, Azure AI services account, Cognitive Services, Foundry Tools
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AI and Machine Learning
premium
Azure AI services account
An Azure resource that provides endpoints, keys, identity, networking, billing, and monitoring for one or more Azure AI service capabilities.
Azure AI services
fundamentals
4 commands
Aliases: AI services account, Azure AI multi-service resource, Foundry resource, Microsoft.CognitiveServices account
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AI and Machine Learning
premium
Azure AI Speech
The Azure speech service for converting speech to text, text to speech, speech translation, pronunciation assessment, and related speech-enabled capabilities.
AI services
intermediate
4 commands
Aliases: Azure Speech, Speech in Foundry Tools, Speech service, Speech-to-text
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AI and Machine Learning
premium
Azure AI Translator
A cloud-based machine translation service for translating text and documents across supported languages through REST APIs and client libraries.
AI services
intermediate
4 commands
Aliases: Azure Translator, Document Translation, Text Translation, Translator
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