# Azure AI Documentation ## Docs - [Anomaly Detector Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/anomaly-detector/overview.md): Monitor and detect anomalies in time series data with univariate and multivariate anomaly detection APIs - [Computer Vision Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/computer-vision/overview.md): Extract visual features from images including OCR, object detection, image analysis, and caption generation - [Content Understanding Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/content-understanding/overview.md): Process and analyze documents, images, videos, and audio with generative AI for intelligent content ingestion - [Custom Vision Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/custom-vision/overview.md): Build and train custom image recognition models for image classification and object detection - [Document Intelligence Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/document-intelligence/overview.md): Machine learning-based OCR and document processing service for automated data extraction from forms and documents - [Azure Language Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/language/overview.md): Natural language processing features for text analysis, entity recognition, sentiment analysis, and conversational AI - [Azure AI Services Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/overview.md): Cloud-based AI services for building intelligent applications with vision, language, speech, and decision capabilities - [Personalizer Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/personalizer/overview.md): Reinforcement learning service for personalized content recommendations based on user behavior and context - [Azure Speech Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/speech/overview.md): Speech-to-text, text-to-speech, speech translation, and voice recognition capabilities for adding speech to applications - [Azure Translator Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/ai-services/translator/overview.md): Neural machine translation service for real-time text and document translation across 100+ languages - [Foundry REST API](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/api/foundry.md): Complete REST API reference for Azure AI Foundry Local services - [Azure Machine Learning REST API](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/api/machine-learning.md): REST API reference for Azure Machine Learning model deployment and management - [Azure AI Search REST API](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/api/search.md): REST API reference for Azure AI Search indexes, queries, and agentic retrieval - [Agent Environment Setup](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/environment-setup.md): Deploy the infrastructure needed for Foundry Agent Service including resource provisioning, model deployment, and configuration. - [Foundry Agent Service Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/overview.md): Learn about Foundry Agent Service, a production-ready platform for building, deploying, and operating intelligent agents at enterprise scale. - [Standard Agent Setup](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/standard-setup.md): Learn about enterprise-ready agent deployments with standard setup, including data control, security features, and resource configuration. - [Threads, Runs, and Messages](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/threads-runs-messages.md): Learn about the core components of agent execution in Foundry Agent Service including threads, runs, and messages. - [Azure AI Search Tool](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/tools/azure-ai-search.md): Connect agents to Azure AI Search indexes for enterprise knowledge retrieval with vector, keyword, and hybrid search. - [Azure Functions Tool](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/tools/azure-functions.md): Integrate agents with Azure Functions for serverless tool execution, enterprise system integration, and complex workflows. - [Code Interpreter Tool](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/tools/code-interpreter.md): Enable agents to write and execute Python code in sandboxed environments for data analysis, calculations, and visualizations. - [File Search Tool](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/tools/file-search.md): Retrieve knowledge from uploaded documents using hybrid vector and keyword search in Microsoft Foundry agents. - [Function Calling Tool](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/agents/tools/function-calling.md): Define custom functions for agents to extend capabilities with business logic, API calls, and database queries. - [Agent Concepts](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/concepts/agents.md): Learn about AI agents in Microsoft Foundry, including their components, capabilities, and how they enable intelligent automation. - [Model Concepts](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/concepts/models.md): Understand AI models in Microsoft Foundry, including model types, deployment options, and how to choose the right model for your use case. - [Tool Concepts](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/concepts/tools.md): Learn about tools in Microsoft Foundry that extend agent capabilities for knowledge retrieval, code execution, and external integrations. - [Model Deployment](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/models/deployment.md): Learn how to deploy AI models in Microsoft Foundry using serverless APIs, provisioned throughput, and managed compute. - [Foundry Models Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/models/overview.md): Explore Microsoft Foundry's comprehensive model catalog including Azure OpenAI, Foundry Direct, partner, and community models. - [Model Region Support](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/models/region-support.md): Check Azure region availability for AI models in Microsoft Foundry including Azure OpenAI and Foundry Direct models. - [What is Microsoft Foundry?](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/overview.md): Learn about Microsoft Foundry, a unified Azure platform for enterprise AI operations, agents, models, and tools with built-in security and governance. - [Microsoft Foundry Quickstart](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/quickstart.md): Get started with Microsoft Foundry SDK building AI applications with agents, models, and tools. - [Responsible AI Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/responsible-ai/overview.md): Learn about responsible AI practices, safety controls, and governance tools in Microsoft Foundry for building trustworthy AI agents. - [Microsoft Foundry SDKs and Endpoints](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/sdk-overview.md): Learn about Microsoft Foundry SDKs, endpoints, and how to choose the right SDK for your AI application development needs. - [Solutions Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/foundry/solutions/overview.md): Explore reference architectures and solution patterns for building AI applications with Microsoft Foundry. - [Welcome to Azure AI Documentation](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/introduction.md): Your comprehensive guide to Microsoft's enterprise AI platform, including Foundry, Machine Learning, AI Search, and Open Datasets. - [Azure Machine Learning Components](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/components/overview.md): Learn about reusable components for building machine learning pipelines in Azure Machine Learning. - [Compute Targets in Azure Machine Learning](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/concepts/compute.md): Learn about compute targets for training and deployment in Azure Machine Learning, including compute clusters, instances, and serverless options. - [MLOps - Model Management and Deployment](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/concepts/mlops.md): Learn how Azure Machine Learning uses MLOps to manage the machine learning lifecycle, from training to production deployment. - [Azure Machine Learning Workspace](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/concepts/workspace.md): Learn about Azure Machine Learning workspaces, how to organize them, and manage access for your team. - [Online Endpoints for Real-Time Inference](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/deployment/endpoints.md): Learn about managed online endpoints for real-time machine learning inference in Azure Machine Learning. - [Model Deployment in Azure Machine Learning](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/deployment/overview.md): Learn how to deploy machine learning models to production using online endpoints, batch endpoints, and managed infrastructure. - [Azure Machine Learning Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/overview.md): Learn about Azure Machine Learning resources, assets, and how to build, train, and deploy machine learning models at scale. - [Quickstart - Get Started with Azure Machine Learning](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/quickstart.md): Create your first Azure Machine Learning workspace and compute instance to start building ML models. - [Distributed GPU Training in Azure Machine Learning](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/training/distributed-training.md): Learn how to implement distributed training with PyTorch, DeepSpeed, and TensorFlow for large-scale deep learning models. - [Training Models in Azure Machine Learning](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/machine-learning/training/overview.md): Learn how to train machine learning models using Azure Machine Learning with SDK, CLI, and Studio. - [Azure Open Datasets Catalog](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/open-datasets/catalog.md): Browse the complete catalog of datasets available in Azure Open Datasets. - [Bing COVID-19 Dataset](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/open-datasets/datasets/covid-19.md): Access daily updated COVID-19 data including confirmed, fatal, and recovered cases from all regions worldwide. - [Genomics Datasets](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/open-datasets/datasets/genomics.md): Access large-scale genomics datasets including 1000 Genomes, gnomAD, and ClinVar for genetic variation research. - [Public Holidays Dataset](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/open-datasets/datasets/public-holidays.md): Access worldwide public holiday data covering 38 countries from 1970 to 2099 in Azure Open Datasets. - [Create Azure ML Datasets from Open Datasets](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/open-datasets/how-to/create-dataset.md): Learn how to create Azure Machine Learning datasets from Azure Open Datasets using the Python SDK and Azure ML Studio. - [Azure Open Datasets Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/open-datasets/overview.md): Learn about Azure Open Datasets - curated public datasets that you can use to enrich your machine learning solutions for more accurate models. - [Quickstart - Get Started with Azure AI](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/quickstart.md): Create your first Azure AI project and deploy an intelligent application in minutes. - [.NET SDK](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/sdk/dotnet.md): Complete .NET SDK reference for Azure AI Foundry and Azure AI services - [JavaScript SDK](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/sdk/javascript.md): JavaScript and TypeScript SDK reference for Azure AI Foundry and Azure AI services - [Python SDK](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/sdk/python.md): Python SDK reference for Azure AI Foundry and Azure AI services - [Create Index for Agentic Retrieval](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/agentic/create-index.md): Build search indexes optimized for agentic retrieval workloads. - [Create a Knowledge Base](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/agentic/create-knowledge-base.md): Set up a knowledge base to orchestrate agentic retrieval across multiple knowledge sources. - [Knowledge Sources](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/agentic/knowledge-sources.md): Learn about knowledge sources for agentic retrieval including indexed and remote options. - [Agentic Retrieval Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/agentic/overview.md): Multi-query pipeline for complex agent workflows with LLM-assisted query planning and parallel retrieval. - [Agentic Retrieval](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/concepts/agentic-retrieval.md): Learn about agentic retrieval, a multi-query pipeline designed for complex agent-to-agent workflows and RAG applications. - [Classic Search](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/concepts/classic-search.md): Understand the traditional index-first retrieval model in Azure AI Search for predictable, low-latency queries. - [Hybrid Search](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/concepts/hybrid-search.md): Combine vector and full-text search for optimal results using Reciprocal Rank Fusion in Azure AI Search. - [Vector Search](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/concepts/vector-search.md): Learn about vector search capabilities in Azure AI Search for semantic similarity matching using embeddings. - [Create an Azure AI Search Service](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/create-service.md): Learn how to create and configure an Azure AI Search service in the Azure portal. - [Indexers](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/indexing/indexers.md): Automate data ingestion from Azure data sources with indexers for scheduled refresh and AI enrichment. - [Indexing Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/indexing/overview.md): Learn about data import methods for populating Azure AI Search indexes. - [Azure AI Search Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/overview.md): Learn about Azure AI Search, a fully managed information retrieval platform for building search experiences and generative AI apps. - [Full-Text Search](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/queries/full-text.md): Understand how full-text search works in Azure AI Search with BM25 ranking and lexical analysis. - [Query Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/queries/overview.md): Learn about the types of queries supported in Azure AI Search including full-text, vector, and hybrid queries. - [Vector Queries](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/queries/vector.md): Learn how to execute vector similarity searches using embeddings in Azure AI Search. - [Quickstart - Full-Text Search](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/search/quickstart.md): Learn how to create, load, and query your first search index using the Azure portal or REST API. - [Microsoft Foundry Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/services/ai-foundry.md): Unified Azure platform for building AI agents, working with models, and deploying generative AI applications at enterprise scale. - [Azure AI Search Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/services/ai-search.md): AI-powered information retrieval platform for building rich search experiences and generative AI applications with RAG. - [Azure Machine Learning Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/services/machine-learning.md): Cloud service for accelerating and managing the complete machine learning lifecycle with enterprise MLOps capabilities. - [Azure Open Datasets Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/services/open-datasets.md): Curated public datasets optimized for machine learning, including weather, census, transportation, and economic data. - [Azure AI Services Overview](https://mintlify.wiki/MicrosoftDocs/azure-ai-docs/services/overview.md): Comprehensive overview of all Azure AI services including Microsoft Foundry, Machine Learning, AI Search, and supporting services.