SemRAG combines semantic chunking with knowledge graph community retrieval and reports mixed, partly contradictory gains over naive RAG on MultiHopRAG and Wikipedia QA datasets.
Is semantic chunking worth the computational cost? In Findings of the Association for Computational Linguistics: NAACL 2025, pages 2155–2177
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SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
SemRAG combines semantic chunking with knowledge graph community retrieval and reports mixed, partly contradictory gains over naive RAG on MultiHopRAG and Wikipedia QA datasets.