DEEP-PolyU/Awesome-GraphRAG
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
This project compiles a comprehensive list of research and open-source tools related to Graph-based Retrieval-Augmented Generation (GraphRAG). It helps researchers, PhD students, and AI practitioners explore advanced methods for building more accurate and context-aware customized Large Language Models (LLMs). The project categorizes and explains various techniques for organizing knowledge, retrieving information, and integrating it with LLMs, moving beyond traditional text-chunking approaches.
2,181 stars.
Use this if you are a researcher or practitioner looking to understand, compare, and implement cutting-edge GraphRAG techniques for improving LLM performance on domain-specific tasks.
Not ideal if you are looking for a ready-to-use software application or a basic introduction to RAG that doesn't involve graph-based knowledge representation.
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2,181
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MIT
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Last pushed
Mar 04, 2026
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