2 papers
cs.CL2025
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
Hruday Markondapatnaikuni, Basem Suleiman, Abdelkarim Erradi +1
Fine-tuning is an immensely resource-intensive process when retraining Large Language Models (LLMs) to incorporate a larger body of knowledge. Although many fine-tuning techniques…
cs.CL2025
SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
Kezhen Zhong, Basem Suleiman, Abdelkarim Erradi +1
This paper introduces SemRAG, an enhanced Retrieval Augmented Generation (RAG) framework that efficiently integrates domain-specific knowledge using semantic chunking and knowledge…