Description
Most agentic AI architectures bolt a vector database onto an existing stack, adding another system to manage, another sync pipeline to maintain, and another failure point to monitor. But what if your SQL database already spoke vectors natively?
In this session, Mattias Jonsson explores how built-in vector search and AI-native capabilities in distributed SQL eliminate the need for a separate vector database. The session covers how vector embeddings, semantic search, and agent memory patterns work alongside transactional and analytical workloads in a single query layer, what that means for developers building agentic applications today, and where the convergence of SQL and vector is headed next.
Speaker
Mattias Jonsson
Principal Software Engineer, PingCAP