Open access
Sep 2026
Efficacy Evaluation and Optimization of RAG Knowledge Bases in the Oil and Gas Industry Using an LLM-as-a-Judge Mechanism
The increasing adoption of Retrieval-Augmented Generation (RAG) in the oil and gas industry has created a growing need for systematic evaluation of domain-specific knowledge bases, particularly with respect to retrieval failures, numerical and entity inconsistencies, knowledge timeliness, and unsupported generation. Th...
Tian-Xiang Yang, Yu Cao, Ying-Kai Ma et al.
· Energies · 0 citations