nano-graphrag and gfm-rag

nano-graphrag
65
Established
gfm-rag
52
Established
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 20/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 16/25
Stars: 3,721
Forks: 399
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 222
Forks: 26
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No Package No Dependents

About nano-graphrag

gusye1234/nano-graphrag

A simple, easy-to-hack GraphRAG implementation

This project helps you understand complex documents by turning raw text into a connected knowledge graph. It takes your documents, extracts key information and relationships, and then lets you ask questions to get concise, contextually rich answers. Anyone who needs to extract insights and query large amounts of text data, like researchers, analysts, or content strategists, will find this useful.

knowledge-management document-analysis information-retrieval text-analytics AI-applications

About gfm-rag

RManLuo/gfm-rag

[NeurIPS'25, ICLR'26] Graph Foundation Model for Retrieval Augmented Generation

This project helps domain experts and researchers get more accurate answers from large language models (LLMs) by giving them relevant information from a collection of documents. It takes your documents and questions, builds a "knowledge graph" to understand relationships, and then uses that graph to find the most relevant document snippets for the LLM to use. Anyone who needs to extract precise answers from vast amounts of text will find this useful.

knowledge-management research-assist question-answering information-retrieval data-synthesis

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