Vector Recall Reasoning
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.

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.