Awesome-GraphRAG and awesome-rag

Awesome-GraphRAG
55
Established
awesome-rag
29
Experimental
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 6/25
Adoption 3/25
Maturity 8/25
Community 12/25
Stars: 2,181
Forks: 183
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 3
Forks: 1
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License No Package No Dependents

About Awesome-GraphRAG

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.

Large-Language-Models Knowledge-Graphs AI-Research Information-Retrieval Natural-Language-Processing

About awesome-rag

eltociear/awesome-rag

A curated list of awesome RAG.

Scores updated daily from GitHub, PyPI, and npm data. How scores work