An Intelligent Q&A System for Production Line O&M Based on Knowledge Graph and GraphRAG
Zhaoxi Liu, Yanhui Lai, Zuobing Chen, Yong Gao
Problems Identified (2)
Production line O&M intelligence demand: Production line operations and maintenance requires intelligent solutions, motivating an intelligent Q&A system for this domain.
Production line O&M intelligence demand: Production line operations and maintenance requires intelligent solutions, motivating an intelligent Q&A system for this domain.
Proposed Solutions (5)
CasRel-based O&M triplet extraction: The approach extracts O&M knowledge triplets from technical documents using an improved CasRel-based method.
Neo4j O&M knowledge graph: The extracted O&M knowledge is used to construct an O&M knowledge graph in Neo4j.
GraphRAG O&M Q&A system: The paper develops an intelligent Q&A system for biomass heating production line O&M using GraphRAG technology.
CasRel-based O&M triplet extraction: The approach extracts O&M knowledge triplets from technical documents using an improved CasRel-based method.
Neo4j O&M knowledge graph: The extracted O&M knowledge is used to construct an O&M knowledge graph in Neo4j.
Results (3)
Practical deployment and validation:
Interactive and practically useful Q&A:
Practical deployment and validation:
Research Domain
Production line operations and maintenance intelligent question answering