Stop Giving Your AI Agent a Search Box and Start Giving It Typed Tools, Hard Bounds, and a Gate It Cannot Talk Past
Provides empirical testing of agentic RAG systems with concrete implementation details and governance considerations for developers building production AI systems.
AI Summary
Author tests a bounded architecture with typed tools and hard constraints, measuring performance against governance requirements on Azure infrastructure.
Excerpt
What happens when you stop feeding a model context and let it go find its own, walking a knowledge graph within strict limits, and what four models and one wrong prediction revealed about whether that is worth doing. The post Stop Giving Your AI Agent a Search Box and Start Giving It Typed Tools, Hard Bounds, and a Gate It Cannot Talk Past appeared first on Towards Data Science.
