Topic:
The support for vector search is included in both and it’s a powerful feature to build AI architectures, either RAG or similar architectures depending on vector search features Using HTTP calls from T-SQL and vector search features in SQL we can store embeddings inside Fabric Database. This provides a considerable improvement in text search and a potential integration between database solutions and Open AI solutions. The embeddings stored in Fabric databases can be used as input for Open AI models with the benefit of the flexible search of a relational database
Speaker:
Dennes is a DBA and Data Platform MVP (2020-2023) living in Malta who loves Data Platform, including Azure Data Platform, Microsoft Fabric, SQL Server and recently got involved by Generative AI. In the past, he was married with software development, resulting in a total of more than 20 years of experience between Data Platform, cloud and software development. He moved to Malta after more than 10 years leading devSQL PASS Chapter in Rio de Janeiro and now is a member of the leadership team of MMDPUG PASS Chapter in Malta organizing meetings, events, and webcasts about Microsoft Data Platform. He is an MCT, MCSE in Data Platforms and BI, with more titles in software development. He can be found working for DTower Software and speaking in SQL Saturdays around Europe