Awesome-GraphRAG
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
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deep-polyu
Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.
Total Products
2
Software by deep-polyu
LinearRAG
LinearRAG is an advanced Graph Retrieval-Augmented Generation (GraphRAG) system designed for efficient processing of large-scale corpora. Presented at ICLR 2026, it introduces a novel relation-free graph construction method that eliminates the need for Large Language Model (LLM) token consumption during graph building, significantly reducing costs and improving speed. Unlike traditional approaches that rely on explicit relational extraction, LinearRAG utilizes lightweight entity recognition and semantic linking to construct comprehensive knowledge graphs. This architecture supports deep multi-hop reasoning within a single retrieval pass while maintaining context preservation across complex queries. The system features linear time and space complexity, making it highly scalable for extensive datasets without sacrificing performance. It is compatible with standard embedding models like all-mpnet-base-v2 and supports various pre-trained NLP models for both general and specialized domains such as medical literatu