Microsoft Azure Mastery for .NET Architects

Azure Search (AI Search): Semantic search and vector indexing

1 Views Updated 5/4/2026

Intelligent Retrieval

Azure AI Search (formerly Azure Cognitive Search) is a cloud search service with built-in AI capabilities for handling complex content.

1. Vector Search & RAG

This is the hottest topic in AI. **Vector Search** allows you to search based on 'Meaning' rather than keywords. Combined with **RAG (Retrieval-Augmented Generation)**, you can give GPT-4 the specific context of your company's documents, allowing it to answer questions accurately without 'Hallucinating'.

2. Skillsets & Indexing

The search service has 'Indexers' that crawl your S3/Blob storage and SQL databases. You can attach **AI Skillsets** to the indexer so that as it finds a PDF, it automatically translates it, extracts the text, and identifies key entities before saving them to the search index.

3. Architect Insight

Q: "Is it an alternative to Elasticsearch?"

Architect Answer: "YES! For .NET teams, it is usually better. It requires zero server management, has a first-class .NET SDK, and its AI capabilities (like semantic ranking) are integrated seamlessly. It's the best choice for any modern 'Search Box' in your application."

Microsoft Azure Mastery for .NET Architects
1. Azure Identity & Governance
Microsoft Entra ID (Azure AD): Scaling identity for .NET apps App Registrations & Service Principals: Secure machine identity Azure Policy & Blueprints: Enforcing architecture standards Resource Groups & Management Groups: Organizing the Cloud
2. Azure Web & Compute
Azure App Service: Managed hosting for ASP.NET Core Azure Functions: Serverless logic with Durable Functions Azure Container Apps (ACA): Serverless K8s for microservices Azure Kubernetes Service (AKS): Enterprise orchestration
3. Azure Databases
Azure SQL Database: The king of cloud-native SQL Azure Cosmos DB: Global scale with multi-model NoSQL Azure Cache for Redis: Managed memory performance Azure Database for PostgreSQL/MySQL: Flexible server scaling
4. Networking & Security
Azure Virtual Network (VNet): Subnets, Peering, and Gateways Azure Front Door: Global CDN & Load Balancing Azure Key Vault: Managing secrets, keys, and certificates Azure Application Gateway (WAF): Protecting the front-end
5. Messaging & Integration
Azure Service Bus: Enterprise-grade message queuing Azure Event Grid: Building reactive, event-driven systems Azure Event Hubs: Large-scale data ingestion for .NET Logic Apps: No-code orchestration for .NET developers
6. AI & Data Services
Azure OpenAI Service: Integrating GPT into .NET apps Cognitive Services: Vision, Speech, and Language APIs Azure Search (AI Search): Semantic search and vector indexing Azure Data Factory: ETL and data movement
7. Monitoring & Hybrid
Azure Monitor & Application Insights: Deep .NET observability Log Analytics: KQL (Kusto) for large-scale log analysis Azure Arc: Managing on-premise and multi-cloud from Azure Azure Bicep: Modern Infrastructure as Code for Azure
8. Enterprise Scale & Patterns
Cloud Adoption Framework (CAF): The Architect's strategy Case Study: Global retail scaling with Cosmos DB and AKS