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building knowledge graphs (GrahRAGs) are obsolete from a acamedic and technical point of view. LLMs are getting better with built in graph networks capable algorithms like SONAR and knowledge embeddings. like someone said - just use Notebook LM instead. But, they are useful in corporate setup when the infrastructure,teams and skills are lagging by years.


My use case is for documents related to a legal issue, where a foundation model has no knowledge of any of the participants or particular issues. There are many, many such situations. Your statement is ignorant and overly broad.


That's only true if you can train or fine tune the LLM. If you are merely a user augmenting it with RAG then GraphRAG is perfectly viable.


Could you provide some academic proofs from what I read this isn’t true so I’d be interested to see what you’re referring to




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