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Redefining Database Scale for Agentic AI Workloads with TiDB

AWS Events via YouTube

Overview

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Explore how TiDB's distributed SQL database addresses the unprecedented scale challenges of agentic AI workloads in this 22-minute conference presentation from AWS re:Invent 2025. Discover how traditional databases struggle with the immense demands of managing both structured data and vector embeddings for AI applications, and learn why a unified, highly-scalable solution is essential. Examine TiDB's seamless integration capabilities with AWS services including Amazon Bedrock and S3, enabling you to bring AI functions directly to your data without complex migrations. Understand how TiDB's powerful real-time analytics and integrated vector search capabilities eliminate traditional data pipeline complexities that often bottleneck AI development. Investigate the platform's GraphRAG capabilities and how they enable developers to build powerful, real-time generative AI applications with unprecedented efficiency. Learn practical strategies for future-proofing your data infrastructure for the AI era through TiDB's distributed architecture. Gain insights into how this AWS Partner solution can transform your approach to scaling database operations for next-generation agentic AI workloads, with real-world examples of implementation and performance optimization techniques.

Syllabus

AWS re:Invent 2025 - Redefining database scale for agentic AI workloads with TiDB (DAT204)

Taught by

AWS Events

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