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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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

AI and Machine Learning command-rich Search admin key A search admin key is one of the generated API keys for an Azure AI Search service that allows full read-write data-plane access. It can create, update, or delete indexes, indexers, data sources, and documents, so it must be protected, rotated, and replaced with role-based access when possible. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search admin key, search service admin key, Azure Search API admin key, primary admin key, secondary admin key Quick peek Open full term page

AI and Machine Learning premium Search analyzer A search analyzer is the Azure AI Search text-processing component that breaks strings into searchable tokens during indexing and query execution. Built-in, language, or custom analyzers control tokenization, normalization, stemming, stop words, and other lexical behavior for searchable string fields. Azure AI Search fundamentals 8 commands Aliases: Azure AI Search analyzer, text analyzer, search text analyzer, custom analyzer, language analyzer Quick peek Open full term page

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 Quick peek Open full term page

Databases premium Cosmos DB full-text search Cosmos DB full-text search means searching natural-language text stored in Cosmos DB for NoSQL items. It is the practical label operators use when they decide how application data should be modeled, queried, protected, and monitored in Azure Cosmos DB. In plain English, it explains where developers, platform engineers, and support teams meet: the application wants fast data access, while the platform controls scale, cost, security, and recovery. A good glossary entry helps the team know which setting to inspect, which owner to involve, and which symptoms prove the design works. Azure Cosmos DB intermediate 5 commands Aliases: Azure Cosmos DB full-text search, cosmos db full-text search Quick peek Open full term page

AI and Machine Learning premium Hybrid search Hybrid search in Azure AI Search combines vector search and keyword or full-text search in a single request and merges the results. Azure AI Search advanced 5 commands Aliases: Hybrid search, hybrid search Quick peek Open full term page

AI and Machine Learning premium Search data source A search data source is an Azure AI Search indexer object that describes where external content comes from. It specifies the supported source type, connection information, credentials or identity, container or query, and sometimes change or deletion detection used by indexers. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search data source, indexer data source, SearchIndexerDataSourceConnection, data source connection, Azure Search data source object Quick peek Open full term page

AI and Machine Learning premium Search document A search document is a single searchable JSON record stored in an Azure AI Search index. It contains field values defined by the index schema, including a unique key, retrievable content, filters, facets, sortable values, and sometimes vector fields. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search document, search index document, indexed document, searchable document, document in search index Quick peek Open full term page

AI and Machine Learning premium Search filter A search filter is an OData expression in Azure AI Search that narrows query results before or during retrieval. Filters compare fields, ranges, collections, geography, or security values so the service returns only documents that satisfy those conditions. It depends on filterable fields and trusted query construction. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search filter, OData filter, search query filter, filter expression, Azure Search filter, document filter Quick peek Open full term page

AI and Machine Learning premium Search index A search index is the searchable data structure in Azure AI Search. It defines fields, attributes, analyzers, vector settings, scoring options, and stored documents so applications can run queries, filters, facets, and retrieval workflows. It is the contract that applications query at runtime. Search fundamentals 5 commands Aliases: Azure AI Search index, Azure Search index, search schema, index schema, searchable index, retrieval index Quick peek Open full term page

AI and Machine Learning premium Search index projection A search index projection defines how enriched content from an Azure AI Search skillset is projected into one or more indexes. It is commonly used to create chunked child documents with parent metadata for retrieval-augmented generation. It is configured as part of the enrichment pipeline. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search index projection, indexer projection, projected search index, RAG chunk projection, skillset index projection, index projections, projection selector, projected index, chunk projection Quick peek Open full term page

AI and Machine Learning premium Search indexer A search indexer is an Azure AI Search component that crawls a supported data source, extracts or enriches content, and loads documents into a search index. It can run on demand or on a schedule. It connects source freshness to searchable content. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search indexer, Azure Search indexer, search crawler, pull indexing pipeline, managed search ingestion, indexer run, indexer schedule, search ingestion job Quick peek Open full term page

AI and Machine Learning premium Search partition A search partition is a capacity unit in Azure AI Search that provides storage and indexing resources for indexes. Increasing partitions expands index storage and can improve throughput for data ingestion and some query workloads. It is configured on the search service capacity model. Azure AI Search intermediate 5 commands Aliases: Azure AI Search partition, Azure Search partition, search service partition, search capacity partition, partition count, search unit partition Quick peek Open full term page

AI and Machine Learning premium Search query key A search query key is an Azure AI Search API key that permits read-only document queries against indexes. It is intended for client applications that need search results but should not manage indexes, data sources, indexers, skillsets, or service configuration. Search fundamentals 5 commands Aliases: Azure AI Search query key, search API query key, read-only search key, query API key, Azure Search query key Quick peek Open full term page

AI and Machine Learning premium Search relevance Search relevance in Azure AI Search is the process of ranking matching documents so the most useful results appear first. Relevance can depend on BM25 keyword scoring, analyzers, filters, scoring profiles, vector retrieval, semantic ranking, application query design, and production feedback. Search intermediate 5 commands Aliases: Azure AI Search relevance, search ranking, result relevance, BM25 relevance, semantic relevance, ranking quality Quick peek Open full term page

AI and Machine Learning premium Search replica A search replica is a copy of the Azure AI Search engine used to serve query and indexing workloads. Adding replicas increases query concurrency and availability, while partitions provide storage capacity; together they determine search units, cost, and production capacity-planning decisions. Search fundamentals 5 commands Aliases: Azure AI Search replica, search service replica, replica count, query replica, search capacity replica Quick peek Open full term page

AI and Machine Learning premium Search scoring profile A search scoring profile is an Azure AI Search index configuration that boosts or suppresses ranking for matching documents. It can use weighted text fields and scoring functions such as freshness, magnitude, distance, or tags to shape relevance during query execution. Search intermediate 5 commands Aliases: Azure AI Search scoring profile, search ranking profile, scoring profile, relevance boost profile, search boost profile Quick peek Open full term page

AI and Machine Learning premium Search semantic configuration A search semantic configuration is an Azure AI Search index setting that names the fields used by semantic ranker. It prioritizes title, content, and keyword fields so semantic ranking, captions, and answers can evaluate the most meaningful document text during semantic queries. Search advanced 5 commands Aliases: Azure AI Search semantic configuration, semantic search configuration, semantic ranker configuration, prioritized fields, semantic config Quick peek Open full term page

AI and Machine Learning premium Search service An Azure AI Search service is the provisioned Azure resource that hosts indexes, indexers, skillsets, query APIs, keys, networking, replicas, partitions, and monitoring settings. It is the management and data-plane boundary for building searchable content and retrieval experiences. and governance reviews. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search service, search resource, search endpoint, Microsoft.Search search service, managed search service Quick peek Open full term page

Monitoring and Observability premium Search service diagnostic logs Search service diagnostic logs are Azure Monitor resource logs from Azure AI Search that record query, suggest, autocomplete, lookup, indexing, service statistics, and operational events. They are collected in Log Analytics or storage when diagnostic settings are enabled on the search service. Data operations intermediate 5 commands Aliases: Azure AI Search logs, search resource logs, Microsoft.Search diagnostics, search operation logs, Search diagnostic settings Quick peek Open full term page

AI and Machine Learning premium Search skill A search skill is one processing step inside an Azure AI Search skillset. It transforms extracted source content during indexing, such as OCR, entity recognition, translation, text splitting, embedding generation, or custom enrichment, and writes output into the enriched document tree. Search intermediate 5 commands Aliases: Azure AI Search skill, enrichment skill, cognitive skill, custom skill, indexing skill Quick peek Open full term page

AI and Machine Learning premium Search skillset A search skillset is a reusable Azure AI Search object attached to an indexer. It groups one or more skills that transform raw source content during indexing, producing searchable text, vectors, structure, or custom enrichments before output mappings populate the target index. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search skillset, AI enrichment pipeline, cognitive skillset, indexer skillset, search enrichment pipeline Quick peek Open full term page

AI and Machine Learning premium Search suggester A search suggester is an Azure AI Search index configuration that enables typeahead behavior for users and apps. It names string fields used to build internal prefix structures so autocomplete can complete partial queries and suggestions can return matching documents from selected fields. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search suggester, typeahead suggester, autocomplete suggester, search-as-you-type configuration, suggest API fields Quick peek Open full term page

AI and Machine Learning premium Search synonym map A search synonym map is an Azure AI Search resource that stores equivalent terms, abbreviations, or phrase rewrites. It can be assigned to searchable string fields so queries match related words without requiring users to type every possible production search term. Azure AI Search fundamentals 5 commands Aliases: synonym map, search synonyms, Azure AI Search synonyms, synonymMaps, query expansion map Quick peek Open full term page

AI and Machine Learning premium Search vectorizer A search vectorizer is an Azure AI Search index configuration that converts text or images into vectors at query time. It references an embedding model, connects through a vector profile, and should match the model used to create indexed vector content. Search advanced 5 commands Aliases: vectorizer, search vectorizer, Azure AI Search vectorizer, query-time vectorization, integrated vectorization Quick peek Open full term page