Stop the Franken-stack: TiDB Unifies AI Memory in a Single Database

The current industry reliance on fragmented database stacks for AI applications creates unnecessary complexity, latency, and cost. TiDB's integration of native vector search with its proven HTAP architecture provides a streamlined path for developers to build scalable, consistent, and cost-effective AI memory systems.