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cross_type 0.20 — supporting 2 facts

Neo4j is directly used as part of the technology stack for implementing and querying a knowledge graph in a system for healthcare documents [1], and serves as the knowledge graph database interacted with via Cypher queries in an LLM agent framework evaluation [2].

Facts (2)

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Leveraging Knowledge Graphs and LLM Reasoning to Identify ... arxiv.org arXiv 1 fact
referenceThe experimental evaluation of the LLM agent framework utilized OpenAI’s GPT-4o via Langchain QA chains, interacting with a Neo4j knowledge graph through LLM-generated Cypher queries, with configuration settings of temperature 0.0, top_p 0.95, and a 4096-token limit.
Enhancing LLMs with Knowledge Graphs: A Case Study - LinkedIn linkedin.com LinkedIn 1 fact
accountThe authors of 'Enhancing LLMs with Knowledge Graphs: A Case Study' developed a system to store, query, and fact-check healthcare benefits documents using a knowledge graph, utilizing a technology stack consisting of Neo4j, Weaviate, Whisper, and Streamlit.