Research library
Search papers on equipment connectivity, quality inspection, production analysis, and manufacturing work.
Search and filter
Paper list
T06. RAG, knowledge graphs, ontologies, and provenance
Retrieval-augmented generation and structured knowledge with traceable sources.
- T06-14Similar problemSince 2025
Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins
- T06-1Structural parallel
Dense Passage Retrieval for Open-Domain Question Answering
- T06-2Similar problem
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- T06-3Structural parallel
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
- T06-4Similar problem
Retrieval-Augmented Generation for Large Language Models: A Survey
- T06-5Structural parallel
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- T06-6Candidate approach
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
- T06-7Structural parallel
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- T06-8Structural parallel
Enabling Large Language Models to Generate Text with Citations
- T06-9Similar problem
Measuring Attribution in Natural Language Generation Models
- T06-10Structural parallel
Provenance Semirings
- T06-11Structural parallel
Provenance in Databases: Why, How, and Where
- T06-12Similar problem
Knowledge Graphs
- T06-13Similar problem
A benchmark dataset with Knowledge Graph generation for Industry 4.0 production lines
From research to product use
Operating capabilities, pilots, and technologies in development are identified separately.
View technology