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I've been waiting for this.

Knowledge graphs don't replace traditional semantic search, but they do unlock a whole new set of abilities when performing RAG, like both traversing down extremely long contexts and traversing across different contexts in a coherent, efficient way.

The only thing about KGs is that it's garbage-in-garbage-out and I've found my feeble attempts at using LLMs to generate graphs sorely lacking.. I can't wait to try this out.



Indeed, if you build the Knowledge Graph in a "naive" way but just asking the LLM to generate a Knowledge Graph you'll probably end up with a very "dirty" Knowledge Graph full with duplications.


Can this be handled by a second (adversarial?) LLM that searches for bad entries?




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