biomedical-graphrag and gfm-rag
About biomedical-graphrag
benitomartin/biomedical-graphrag
A comprehensive GraphRAG (Graph Retrieval-Augmented Generation) system designed for biomedical research
This system helps biomedical researchers and scientists deeply analyze vast amounts of biomedical literature and genomic data. It takes in scientific papers from PubMed and gene information, then allows users to ask complex questions in natural language. The output is intelligent answers and insights derived from the relationships between papers, genes, authors, and institutions, aiding in tasks like understanding research trends or finding collaborators.
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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