Session: Leveraging SQL database in Fabric to implement RAG patterns using Vector search

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.