Vector Search in Azure Cosmos DB for NoSQL: A Practical Guide
Hands-on guide to Vector Search in Azure Cosmos DB for NoSQL with practical examples in C# using embeddings and vector indexes.
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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.
Understand Managed Identity vs Service Principal, DefaultAzureCredential usage, and System Managed vs User Managed approaches.
Discover the difference between control‑plane and data‑plane permissions in RBAC in Azure, why the separation matters, and how to assign roles securely.
Learn Azure RBAC fundamentals. Explore roles, scopes, security principals, and boundaries to manage access securely and effectively.