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The author argues that GraphRAG is fundamentally a data modeling problem rather than just a retrieval algorithm, proposing a five-component architecture using ontologies, knowledge graphs, and an MCP server for unified agent memory.
Researchers fine-tuned BioMistral-7B with QLoRA and GraphRAG to create a TB-care LLM for South Africa, showing improved contextual alignment over the base model.