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Title: GitHub - remembercode/graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system · GitHub

Open Graph Title: GitHub - remembercode/graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system

X Title: GitHub - remembercode/graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system

Description: A modular graph-based Retrieval-Augmented Generation (RAG) system - remembercode/graphrag

Open Graph Description: A modular graph-based Retrieval-Augmented Generation (RAG) system - remembercode/graphrag

X Description: A modular graph-based Retrieval-Augmented Generation (RAG) system - remembercode/graphrag

Opengraph URL: https://github.com/remembercode/graphrag

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LICENSE	https://github.com/remembercode/graphrag/blob/main/LICENSE
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README	https://github.com/remembercode/graphrag
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Contributing	https://github.com/remembercode/graphrag
License	https://github.com/remembercode/graphrag
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	https://github.com/remembercode/graphrag#graphrag
Use the GraphRAG Accelerator solution	https://github.com/Azure-Samples/graphrag-accelerator
Microsoft Research Blog Post	https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Read the docs	https://microsoft.github.io/graphrag
GraphRAG Arxiv	https://arxiv.org/pdf/2404.16130
	https://pypi.org/project/graphrag/
	https://pypi.org/project/graphrag/
	https://github.com/microsoft/graphrag/issues
	https://github.com/microsoft/graphrag/discussions
	https://github.com/remembercode/graphrag#overview
Microsoft Research Blog Post.	https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
	https://github.com/remembercode/graphrag#quickstart
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	https://github.com/remembercode/graphrag#repository-guidance
	https://github.com/remembercode/graphrag#diving-deeper
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	https://github.com/remembercode/graphrag#responsible-ai-faq
RAI_TRANSPARENCY.md	https://github.com/remembercode/graphrag/blob/main/RAI_TRANSPARENCY.md
What is GraphRAG?	https://github.com/remembercode/graphrag/blob/main/RAI_TRANSPARENCY.md#what-is-graphrag
What can GraphRAG do?	https://github.com/remembercode/graphrag/blob/main/RAI_TRANSPARENCY.md#what-can-graphrag-do
What are GraphRAG’s intended use(s)?	https://github.com/remembercode/graphrag/blob/main/RAI_TRANSPARENCY.md#what-are-graphrags-intended-uses
How was GraphRAG evaluated? What metrics are used to measure performance?	https://github.com/remembercode/graphrag/blob/main/RAI_TRANSPARENCY.md#how-was-graphrag-evaluated-what-metrics-are-used-to-measure-performance
What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system?	https://github.com/remembercode/graphrag/blob/main/RAI_TRANSPARENCY.md#what-are-the-limitations-of-graphrag-how-can-users-minimize-the-impact-of-graphrags-limitations-when-using-the-system
What operational factors and settings allow for effective and responsible use of GraphRAG?	https://github.com/remembercode/graphrag/blob/main/RAI_TRANSPARENCY.md#what-operational-factors-and-settings-allow-for-effective-and-responsible-use-of-graphrag
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microsoft.github.io/graphrag/	https://microsoft.github.io/graphrag/
Readme	https://github.com/remembercode/graphrag#readme-ov-file
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