I’m an Azure Solutions Architect and Lead .NET Engineer who both architects and delivers future-ready AI solutions 🤖. Dive into practical insights that connect architecture, engineering, and intelligent cloud innovation ✨.
A complete guide to integrated vectorization in Azure AI Search, showing how to automate embeddings and streamline your vector search pipeline.
Learn how Vectorizers in Azure AI Search simplify embedding generation, streamline C# code, and improve vector search workflows.
Vector Search in Azure AI Search explained with filters, role-based filtering and C# examples for building fast, intelligent vector search features.
Hands-on guide to Vector Search in Azure Cosmos DB for NoSQL with practical examples in C# using embeddings and vector indexes.
A practical intro to Vector Databases in Azure, how they work, key search algorithms, and how to choose the right Azure service for AI apps.
Introduction to embeddings that explains how they capture meaning in high‑dimensional space and semantic search with Microsoft Foundry and C#.
Learn how the Patch API in Azure Cosmos DB prevents data loss, improves performance, and simplifies partial updates for parallel AI agents.
Guide to handling conflicts in multi-write regions in Azure Cosmos DB, showing how global consistency works across hub and satellite regions.
Explore how concurrency in Azure Cosmos DB is managed using ETag, IfMatch, and IfNoneMatch to prevent conflicts and optimize read efficiency.
