This demonstration shows an Agentic GraphRAG workflow for Electronic Health Records running on a single node using SambaStack.

GraphRAG combines retrieval with knowledge graphs, allowing AI to work not only with individual documents but with the relationships between information. Applied to Electronic Health Records, this creates the potential to connect information across clinical records, patient histories and other healthcare data.

Agentic AI adds another layer, enabling multi-stage workflows that can retrieve information, follow relationships and work through complex tasks using the available evidence.

The significant point is that this sophisticated workflow is demonstrated on a single SambaStack node. For healthcare and other data-sensitive sectors, local deployment can provide greater control over where information is processed while still supporting advanced AI capabilities.

It is a practical example of moving beyond simple AI chat towards agentic systems capable of working with complex organisational data.