(Demo) Using GraphRAG on Microsoft CTO Kevin Scott podcasts

Watch this demo of how we can use LLM-created knowledge graphs applied to a dataset of transcripts from Kevin Scott's "Behind the Tech" podcasts to answer questions that traditional RAG systems would fail at!
GraphRAG is a research project from Microsoft exploring the use of knowledge graphs and large language models for enhanced retrieval augmented generation. It is an end-to-end system for richly understanding text-heavy datasets by combining text extraction, network analysis, LLM prompting, and summarization.
For more details on GraphRAG check out aka.ms/graphrag
Read the blogpost: www.microsoft.com/en-us/resea...
Check out the arxiv paper: arxiv.org/abs/2404.16130
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[@itsdavidmora]

This is really neat, and a paradigm I hadn't considered before, though it seems like such a good idea once you point it out!

[@inflationking1271]

Really cool. What interests me are the use cases, where Graphrag does not perform well or in other words: what are the downsides?

[@Thrashmetalman]

has graphrag released any code?

[@maninzn]

How did you create the graph view?

[@itsdavidmora]

It's LLMs all the way down!