Leveraging SQL db in Fabric to implement RAG patterns using Vector search
Details
Meeting IN-PERSON
Monday, December 8, 2025
Networking begins at 6:15PM
Speaker will begin 6:30
Location:
Improving Atlanta Offices
11675 Rainwater Dr #100
Alpharetta, GA 30009
# Leveraging SQL database in Fabric to implement RAG patterns using Vector search with Sukhwant Kaur
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.
### Sukhwant Kaur
#### Program Manager in SQL database in Fabric Team @Microsoft
I am a Product Manager with the SQL database in Fabric team at Microsoft. My focus is on the entire product management lifecycle, from working with development teams and user experience to collaborating with cross-functional teams to drive customer satisfaction by ensuring our products not only meet but exceed customer expectations.
Prior to joining Microsoft, I held various full time/consulting roles as a technology leader for over two decades in software lifecycle development, system integration, and enterprise architecture design. My expertise extends to Data Strategy, Analytics, and Web Content Management. Throughout my career, I have successfully led numerous projects, both small and large, from inception through to implementation. I am a proponent of the servant-leader philosophy, committed to continuous learning and empowering others to excel in their endeavors.
Target audience
Database developers and DBAs who want to learn more about new capabilities in SQL.