Efficiently and Elegantly Modeling Embeddings in Azure SQL and SQL Server
Storing and querying text embeddings in a database it might seem challenging, but with the right schema design, it’s not only possible, ...
Storing and querying text embeddings in a database it might seem challenging, but with the right schema design, it’s not only possible, ...
Overview We are excited to introduce Schema Compare in the MSSQL Extension for VS Code! It can be tedious to manually manage and synchronize d...
OpenAI recently introduced a powerful new feature for developers: structured output using JSON Schema via the response_format parameter. This ...
In today’s data-driven world, delivering precise and contextually relevant search results is critical. SQL Server and Azure SQL Database...
For decades, SQL Server has been a cornerstone of data management, evolving to meet the needs of modern developers. What began as a traditiona...
In this article, we’ll explore how to create a secure, on-premises API using Data API Builder (DAB), Keycloak, and SQL Server. You’...
Vector databases like Qdrant and Milvus are specifically designed to efficiently store, manage, and retrieve embeddings. However, many applica...
Building an application allows you to operationalize the data you have in Microsoft Fabric, such that it can be consumed by stakeholders in yo...
I’m happy to share a new GitHub repository with developers: azure-sql-db-aspire. This collection of eight hands-on examples demonstrates...
The MSSQL Extension for VS Code continues to evolve, bringing powerful new features and enhancements that make SQL development more seamless a...