Building Reliable Agentic AI Systems
Summary
Bayer describes PRINCE, a cloud-hosted platform that helps scientists search, ask questions, and execute tasks across decades of preclinical study data. The system combines agentic RAG, Text-to-SQL, LangGraph orchestration, and observability tools to support reliable answers in a regulated environment. The article focuses on the engineering patterns behind context selection, workflow control, retries, fallbacks, and human review. It also explains how PRINCE improves data accessibility, research efficiency, and regulatory document drafting while maintaining governance and traceability.
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