Exploring Knowledge Graphs and LLMs: Innovative Use Cases

·Aug 02, 2024 04:28 PM

hi all, how are companies using knowledge graphs with LLMs these days? Got any cool examples where this combo outshines or does what old methods can’t?

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2 comments

· Sorted by Oldest

Brendan N.
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Please pardon the promotional aspect of this (I work as a Solutions Architect at Stardog) but it seemed on point for your topic: https://www.stardog.com/blog/stardog-voicebox-faq-how-llm-generative-ai-and-knowledge-graphs-are-the-future-of-data-management/
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André T.
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Converting natural language questions into SPARQL queries using LLM is much more cost-efficient than using VectorRAG (which might send large amounts of data to the LLM). Metaphactory has this feature ("NL2SPARQL") and it works pretty good for ontologies with good expressivity (proprietary though). https://help.metaphacts.com/resource/Help:NL2SPARQL

Brendan N.
·
Please pardon the promotional aspect of this (I work as a Solutions Architect at Stardog) but it seemed on point for your topic: https://www.stardog.com/blog/stardog-voicebox-faq-how-llm-generative-ai-and-knowledge-graphs-are-the-future-of-data-management/
👍2
André T.
·
Converting natural language questions into SPARQL queries using LLM is much more cost-efficient than using VectorRAG (which might send large amounts of data to the LLM). Metaphactory has this feature ("NL2SPARQL") and it works pretty good for ontologies with good expressivity (proprietary though). https://help.metaphacts.com/resource/Help:NL2SPARQL