Evaluating LLM-based enterprise data assistants with knowledge graphs
In brief
- Two methods tested to handle imperfect queries in an enterprise LLM assistant.
- Knowledge graph mediation improves precision and recall over traditional schema-based approaches.
- A design principle proposed to guide the development of LLM assistants for professional use.
A study compares two methods to improve LLM assistants in enterprise settings when users submit imperfect queries. Knowledge graph-based mediation outperforms schema-based approaches, significantly boosting precision and preserving user intent.
What it changes for you
- Public SectorPublic administrations could reduce misinterpretations of user queries in their data analysis tools.
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