Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs

• URL: http://arxiv.org/abs/2507.10630v1
• Date: Mon, 14 Jul 2025 08:20:06 GMT
• Title: Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
• Authors: Ye Yang, Xue Xiao, Ping Yin, Taotao Xie,
• Abstract summary: KG2data is a system that integrates knowledge graphs, large language models (LLMs), ReAct agents, and tool-use technologies.<n>Using a virtual API, we evaluate API call accuracy across three metrics: name recognition failure, hallucination failure, and call correctness.<n> KG2data achieves superior performance (1.43%, 0%, 88.57%) compared to RAG2data (16%, 10%, 72.14%) and chat2data (7.14%, 8.57%, 71.43%)
• Score: 1.6691048566825868
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: API calls by large language models (LLMs) offer a cutting-edge approach for data analysis. However, their ability to effectively utilize tools via API calls remains underexplored in knowledge-intensive domains like meteorology. This paper introduces KG2data, a system that integrates knowledge graphs, LLMs, ReAct agents, and tool-use technologies to enable intelligent data acquisition and query handling in the meteorological field. Using a virtual API, we evaluate API call accuracy across three metrics: name recognition failure, hallucination failure, and call correctness. KG2data achieves superior performance (1.43%, 0%, 88.57%) compared to RAG2data (16%, 10%, 72.14%) and chat2data (7.14%, 8.57%, 71.43%). KG2data differs from typical LLM-based systems by addressing their limited access to domain-specific knowledge, which hampers performance on complex or terminology-rich queries. By using a knowledge graph as persistent memory, our system enhances content retrieval, complex query handling, domain-specific reasoning, semantic relationship resolution, and heterogeneous data integration. It also mitigates the high cost of fine-tuning LLMs, making the system more adaptable to evolving domain knowledge and API structures. In summary, KG2data provides a novel solution for intelligent, knowledge-based question answering and data analysis in domains with high knowledge demands.

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