https://github.com/graphrag/awesome-graphrag

A curated list of GraphRAG, Knowledge Graph, and other graphy GenAI resources
https://github.com/graphrag/awesome-graphrag

List: awesome-graphrag

Last synced: 21 days ago
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A curated list of GraphRAG, Knowledge Graph, and other graphy GenAI resources

• Host: GitHub
• URL: https://github.com/graphrag/awesome-graphrag
• Owner: graphrag
• Created: 2024-11-20T09:35:10.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-11-28T09:55:46.000Z (25 days ago)
• Last Synced: 2024-11-28T10:34:10.125Z (25 days ago)
• Size: 1.95 KB
• Stars: 1
• Watchers: 0
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • Contributing: contributing.md
  • Code of conduct: code-of-conduct.md

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README

        
# Awesome Graphrag [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

> A curated list of GraphRAG, Knowledge Graph, and other graphy GenAI resources

## Contents

- [Software](#software)

- [Reading Material](#reading-material)

## Software

- [circlemind-ai/fast-graphrag](https://github.com/circlemind-ai/fast-graphrag)

- [gusye1234/nano-graphrag](https://github.com/gusye1234/nano-graphrag)

- [langchain graph_transformers](https://api.python.langchain.com/en/latest/experimental/graph_transformers.html)

- [llamaindex property-graph-index](https://docs.llamaindex.ai/en/stable/module_guides/indexing/lpg_index_guide/)

- [microsoft/graphrag](https://github.com/microsoft/graphrag)

- [neo4j/neo4j-graphrag-python](https://github.com/neo4j/neo4j-graphrag-python)

- [whyhow-ai/knowledge-graph-studio](https://github.com/whyhow-ai/knowledge-graph-studio)

## Reading Material

### Articles

- [Implementing GraphReader With Neo4j and LangGraph](https://towardsdatascience.com/implementing-graphreader-with-neo4j-and-langgraph-e4c73826a8b7)

- [The GraphRAG Manifesto: Adding Knowledge to GenAI](https://neo4j.com/blog/graphrag-manifesto/)

- [Unbundling the Graph in GraphRAG](https://www.oreilly.com/radar/unbundling-the-graph-in-graphrag/)

### Foundational Research Papers

- [Graph Retrieval-Augmented Generation: A Survey](https://arxiv.org/abs/2408.08921)

- [G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://arxiv.org/abs/2402.07630)

- [From Local to Global: A Graph RAG Approach to Query-Focused Summarization](https://arxiv.org/abs/2404.16130)

### Reference Information

- [GraphRAG Pattern Catalog](https://graphrag.com)

## Contribute

Contributions welcome! Read the [contribution guidelines](contributing.md) first.