Real Time Data at Scale - Tallinn

GenAI app developers face numerous challenges, from managing multiple data sources and complex infrastructure to scaling unpredictable workloads. In this webinar, see how TiDB and Amazon Bedrock give you a clean, scalable backbone for GenAI app dev so you can ship features faster.

REGISTER VIA LINK: https://www.pingcap.com/event/genai-app-dev-with-tidb-and-amazon-bedrock-emea-timezone/

We’ll show how to keep latency predictable as traffic surges, run transactional + vector/semantic queries on fresh data, and use Amazon Bedrock to power RAG, chat, and agents. You’ll also discover real-world patterns from leading AI companies, plus a demo that ties it all together.

What you’ll learn:

• Data layer for GenAI, minus the duct tape: How TiDB unifies OLTP + analytics + vector search to serve real-time context without ETL bloat.
• Hybrid retrieval that actually scales: Vector + keyword (hybrid) search on operational data for accurate, low-latency answers.
• Amazon Bedrock in practice: Use managed foundation models, orchestration, and guardrails to go from prototype to production safely.
• Battle-tested patterns: Find out what Dify and Manus learned about multi-tenant isolation, online schema changes, and keeping p95 steady during spikes.

Agenda:

• Intro: Why Most GenAI Stacks Break at Scale
• TiDB for GenAI: Distributed SQL + Vector/Hybrid Search
• AWS Bedrock Overview: Models, Guardrails, and Production Primitives
• Live Demo: RAG with TiDB + Amazon Bedrock
• Success Stories
• Q&A

REGISTER VIA LINK: https://www.pingcap.com/event/genai-app-dev-with-tidb-and-amazon-bedrock-emea-timezone/