Any advantage with knowledge graphs in RAG + LLM use cases?
In Gartner conference I heard about knowledge graph would be useful in giving better context to LLM models... haven't seen anyone actually talking about that angle. Any LLM guru's chime in with your views please?
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Microsoft released a repo for Graph Rag, with a subrepo for aceleration using Azure infraestructure. Perhaps, Databricks working on Azure cloud may take advantage of the aceleration subrepo.https://microsoft.github.io/graphrag/
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