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Integrating Knowledge Graphs and Large Language Models for Querying in an Industrial Environment
Published on Feb 4, 202544 Views
Knowledge graphs have traditionally required the use of specific query languages, such as SPARQL, to retrieve relevant data. In this paper, we present a system capable of performing natural language q
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Presentation
Integrating knowledge graphs and large language models for querying in an industrial environment00:00
Industry 4.0 initiative00:03
Setup - 100:31
Setup - 201:18
Possible solution? RAG01:32
System architecture01:51
Creating a Knowledge-Graph from AAS02:23
Example: small subset of graph stored in GraphDB02:48
Answering user queries03:08
Approach 1: Subgraph retrieval04:09
Approach 2: Query Generation04:50
Combining the two approaches - 105:19
Combining the two approaches - 205:37
Combining the two approaches - 305:43
Results05:46
Conclusion06:34