Loading...

Vector Search with Azure SQL, Semantic Kernel and Entity Framework Core

Vector Search with Azure SQL, Semantic Kernel and Entity Framework Core

Vector databases like Qdrant and Milvus are specifically designed to efficiently store, manage, and retrieve embeddings. However, many applications already use relational databases like SQL Server or SQL Azure. In such cases, installing and managing another database can be challenging, especially since these vector databases may not offer all the features of a modern relational […]

The post Vector Search with Azure SQL, Semantic Kernel and Entity Framework Core appeared first on Azure SQL Devs’ Corner.

Published on:

Learn more
Azure SQL Devs’ Corner
Azure SQL Devs’ Corner

Voices from the Azure SQL PM Team, focusing on development and developers

Share post:

Related posts

Azure MCP Server now available as an MCP Bundle (.mcpb)

Azure MCP Server is now available as an MCP Bundle (.mcpb), enabling one-click installation into Claude Desktop and other MCP-compatible clien...

11 hours ago

7 tips to optimize Azure Cosmos DB costs for AI and agentic workloads

AI apps and agentic workloads expose inefficiencies in your data layer faster than any previous generation of apps. You’re storing embeddings,...

1 day ago

Public Preview: Actual Result for Manual Tests in Azure Test Plans

We’re excited to announce the public preview of the highly anticipated Actual Result (AR) feature for manual testing in Azure Test Plans...

1 day ago

Azure SDK Release (April 2026)

Azure SDK releases every month. In this post, you'll find this month's highlights and release notes. The post Azure SDK Release (April 2026) a...

2 days ago

General Availability: Dynamic Data Masking for Azure Cosmos DB

Protecting sensitive data is a foundational requirement for modern applications. As organizations scale their use of Azure Cosmos DB across te...

2 days ago
Stay up to date with latest Microsoft Dynamics 365 and Power Platform news!
* Yes, I agree to the privacy policy