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 Cosmos DB with DiskANN Part 2: Scaling to 1 Billion Vectors with
Introduction In the first part of our series on Azure Cosmos DB Vector Search with DiskANN, we explored the fundamentals of vector indexing an...
Azure Service Bus Integration with Dynamics Business Central and External Systems – Part 2: Financials Integration
Introduction In this blog post, we’ll explore how to integrate financial data between an external system (EXT) and Microsoft Dynamics 365 Busi...
Azure Toolkit for IntelliJ: Introducing the enhanced Java Code Quality Analyzer!
Discover the latest updates to the Azure Toolkit for IntelliJ, featuring an enhanced Java Code Quality Analyzer to help you write cleaner, saf...
Azure Boards + GitHub: Recent Updates
Over the past several months, we’ve delivered a series of improvements to the Azure Boards + GitHub integration. Whether you’re tracking...
Introducing the Azure MCP Server
This post introduces the Azure MCP Server, bringing the power of the cloud to your AI agents. The post Introducing the Azure MCP Server appear...
Azure OpenAI Service now authorized for all U.S. Government data classification levels
In the coming years, artificial intelligence will continue to be foundational to technical innovations for national security missions. Already...
GPT-4.1 is now available at Azure AI Foundry
Azure AI Foundry and AOAI (Azure OpenAI Services) keeps on getting better all the time! The latest addition in Azure AI Foundry (as of April 1...