Vector Similarity Search with Azure SQL database and OpenAI
Vector databases are gaining quite a lot of interest lately due to the fact that using text embeddings and vector operations it is very easy to find similar “things”. Things can be articles, photos, products…everything. As one can easily imagine, this ability is great to easily implement suggestions in applications.
The post Vector Similarity Search with Azure SQL database and OpenAI appeared first on Azure SQL Devs’ Corner.
Published on:
Learn moreRelated posts
Azure Developer CLI (azd) – February 2026: JMESPath Queries & Deployment Slots
This post announces the February 2026 release of the Azure Developer CLI (`azd`). The post Azure Developer CLI (azd) – February 2026: JM...
Improved Python (PyPi/uvx) support in Azure MCP Server
Azure MCP Server now offers first-class Python support via PyPI and uvx, making it easier than ever for Python developers to integrate Azure i...
Microsoft Purview: Data Lifecycle Management- Azure PST Import
Azure PST Import is a migration method that enables PST files stored in Azure Blob Storage to be imported directly into Exchange Online mailbo...
How Snowflake scales with Azure IaaS
Microsoft Rewards: Retirement of Azure AD Account Linking
Microsoft is retiring the Azure AD Account Linking feature for Microsoft Rewards by March 19, 2026. Users can no longer link work accounts to ...
Azure Function to scrape Yahoo data and store it in SharePoint
A couple of weeks ago, I learned about an AI Agent from this Microsoft DevBlogs, which mainly talks about building an AI Agent on top of Copil...