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William Hopkins's avatar

GraphRAG appears to be instance of leveraging "traditional" AI approaches; such symbolic approaches are key to providing explicit abstract reasoning.

I'm interested in how the knowledge graph is created. The main weakness in past symbolic methods is the manual cost of creating rules and semantic graphs. The perfect marriage between symbolic AI and current LLMs would be to automate the creation of the symbolic structures.

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