Join us for a live virtual session and discover how to simplify your AI stack and accelerate innovation.
Date: Tuesday, July 29, 2025
Time: 1:00 PM Central Time
Agentic AI applications are at the forefront of the next wave of technological evolution. As these intelligent systems become more sophisticated, the backend infrastructure supporting them grows increasingly complex, often creating a tangled web of specialized databases and services that stifles development and inflates costs. This webinar will explore a transformative approach: unifying your entire backend on a single, powerful, SQL-native database.
Why Attend?
The rapid evolution of agentic AI is undeniable, but the backend complexity is a significant and often underestimated roadblock for development teams. The common approach of patching together vector databases, analytical engines, and transactional stores creates a fragile and inefficient system. This session will make the case for a unified backend, demonstrating how a single, robust database can eliminate these challenges, streamline your architecture, and empower your team to build faster and more reliable AI applications.
What You’ll Learn:
- How to collapse your patchwork of vector DBs, analytics engines, and OLTP stores into one backend
- Support for text, vectors, metadata, and analytics — all real-time, all in SQL
- Fewer moving parts → faster cycles, better observability, and simpler infra
Built for AI Builders
TiDB is engineered to meet the demanding needs of modern AI applications. Whether you’re developing advanced retrieval-augmented generation (RAG) systems or creating deeply personalized user experiences, TiDB provides the essential foundation for your agentic AI:
- Fresh, Real-Time Data: Ensure your agents are operating with the most up-to-date information for accurate and relevant responses.
- Structured and Unstructured Access: Seamlessly work with both traditional structured data and unstructured data like text and vectors.
- Reliable Reasoning with SQL: Leverage the power and familiarity of SQL for dependable and sophisticated data reasoning.