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Integrating Knowledge Graphs and Large Language Models for Querying in an Industrial Environment
Published on 2024-10-0744 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