diff --git a/data/operation_dulce/dataset.zip b/data/operation_dulce/dataset.zip index c70bab82..50df500f 100644 Binary files a/data/operation_dulce/dataset.zip and b/data/operation_dulce/dataset.zip differ diff --git a/index.html b/index.html index 57f0fc47..a948d659 100644 --- a/index.html +++ b/index.html @@ -292,7 +292,7 @@ For a deeper dive into the main sub-systems, please visit the docpages for the <

To address this, the tech community is working to develop methods that extend and enhance RAG. Microsoft Research’s new approach, GraphRAG, uses LLMs to create a knowledge graph based on an input corpus. This graph, along with community summaries and graph machine learning outputs, are used to augment prompts at query time. GraphRAG shows substantial improvement in answering the two classes of questions described above, demonstrating intelligence or mastery that outperforms other approaches previously applied to private datasets.

The GraphRAG Process 🤖

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GraphRAG builds upon our prior research and tooling using graph machine learning. The basic steps of the GraphRAG process are as follows:

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GraphRAG builds upon our prior research and tooling using graph machine learning. The basic steps of the GraphRAG process are as follows:

Index