If your GenAI agent can’t reason across relationships, memory, and context—it’s not an agent. It’s a demo.
We came across a research system called DEMENTIA-PLAN—focused on dementia care, but it exposed something bigger: the fatal flaw in most GenAI stacks (source in comments).
Agents that run vector-only retrieval pipelines fail to answer questions grounded in human context.
DEMENTIA-PLAN used multiple knowledge graphs + a planning agent to adapt retrieval in real time. Result? 30% better memory support. 10% higher coherence.
This isn’t just about healthcare.
It’s a blueprint for every agent stack that actually needs to think. If your RAG pipeline gets retrieval wrong, you’re shipping guessware.
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