SQL+Vector: Empower AI Apps With Relational Vector Database
Unlocking the full potential of relational databases has long been our goal, thanks to the production readiness, rich feature set, and the ubiquity of SQL. However, it is widely assumed that relational databases cannot compete with the performance of specialized vector databases.
Brain icon for The AI Conference 2023, a groundbreaking two-day event on AGI, LLMs, Infrastructure, Alignment, AI Startups, and Neural Architectures.In this talk, we’re excited to reveal a groundbreaking achievement: for the very first time, a relational database poised to outshine even the most advanced specialized vector databases in vector performance. And the best part? It does so while preserving all the advantages of relational databases, including SQL. Join us to witness this paradigm-shifting moment in database technology.
About Dr. Cheng Tai
Dr. Cheng Tai is the co-founder and CEO of MyScale, a company with a mission to pioneer cutting-edge AI technologies and products designed to revolutionize the handling of large volumes of unstructured data. Currently, he leads a talented team focused on developing MyScale’s flagship product, a SQL-based vector database tailored to empower enterprises in managing unstructured data and building AI applications at scale. Before his role at MyScale, Dr. TAI obtained a Ph.D. in applied mathematics from Princeton University.
Video Recorded at The AI Conference. Copyright, The AI Conference, All Rights Reserved
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