22-25 April 2026 
Build AI applications using SQL database in Fabric
Proposed session for SQLBits 2026TL; DR
Come learn what is SQL database in Fabric as well as how you can utilize this new SAAS offering to store vector embeddings for a semantic search which can fuel your AI applications.
Session Details
This session is designed for participants seeking to expand their expertise beyond fundamental SQL database operations. Attendees will learn how to leverage OpenAI models with SQL databases to enable advanced features such as vector embeddings and semantic similarity search.
Configure database-scoped credentials to ensure secure access to Azure OpenAI
Create vector embeddings for relational data utilizing Azure OpenAI services
Implement semantic similarity search through the VECTOR_DISTANCE function
Develop stored procedures for intelligent product recommendations
Through practical demonstrations, this session will equip participants with the skills necessary to supercharge their database for AI applications.
Configure database-scoped credentials to ensure secure access to Azure OpenAI
Create vector embeddings for relational data utilizing Azure OpenAI services
Implement semantic similarity search through the VECTOR_DISTANCE function
Develop stored procedures for intelligent product recommendations
Through practical demonstrations, this session will equip participants with the skills necessary to supercharge their database for AI applications.
3 things you'll get out of this session
Attendees would learn about SQL database capabilities in Fabric as well as get the basics of Vector/RAG before getting a deeper dive into how SQL database helps make it easier to handle Chat like applications with the help of semantic search capabilities that come with SQL database.