nano-graphrag and gfm-rag
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.
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.
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