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.
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 live demo that ties it all together.
What you will 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.
