Developing AI applications with SQL AI: Ground to Cloud to Fabric

2025

TL; DR

Many developers are seeking to develop new AI applications using their data without compromising security or performance. Microsoft SQL has the deployment choices you need to build Enterprise ready applications using the same consistent powerful database engine you have come to trust with security, privacy, and scale. You can develop AI applications using vector support built into the SQL engine including interfaces with AI models of your choice ground to cloud and powerful searches with DiskANN indexes. Whether you are using SQL Server 2025 on-premises, SQL database in Fabric, or Azure SQL in the cloud, you have the same engine capabilities, same T-SQL interfaces, and same integration with popular AI frameworks like LangChain and Semantic Kernel. Develop these applications in the environment that meets your needs including Copilot experiences to help you end-to-end.

Session Details

Many developers are seeking to develop new AI applications using their data without compromising security or performance. Microsoft SQL has the deployment choices you need to build Enterprise ready applications using the same consistent powerful database engine you have come to trust with security, privacy, and scale. You can develop AI applications using vector support built into the SQL engine including interfaces with AI models of your choice ground to cloud and powerful searches with DiskANN indexes. Whether you are using SQL Server 2025 on-premises, SQL database in Fabric, or Azure SQL in the cloud, you have the same engine capabilities, same T-SQL interfaces, and same integration with popular AI frameworks like LangChain and Semantic Kernel. Develop these applications in the environment that meets your needs including Copilot experiences to help you end-to-end.

3 things you'll get out of this session

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