Knowledge Tree
Relations (1)
related 2.00 — strongly supporting 3 facts
Knowledge graphs and prompt engineering are related through their combined application in LLM frameworks, such as the one proposed in [1], and their functional interplay where prompt engineering is used to integrate knowledge graph data into LLM workflows [2] or to address the challenges of structural extraction [3].
Facts (3)
Sources
Integrating Knowledge Graphs into RAG-Based LLMs to Improve ... thesis.unipd.it 1 fact
claimCustom prompt engineering strategies are necessary for fact-checking systems because different LLMs benefit from different types of contextual information provided by knowledge graphs.
LLM-KG4QA: Large Language Models and Knowledge Graphs for ... github.com 1 fact
referenceThe paper 'A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers' (arXiv, 2024) proposes a framework combining prompt engineering and knowledge graphs to address legal implications in Large Language Model outputs.
Combining large language models with enterprise knowledge graphs frontiersin.org 1 fact
claimPrompt engineering for full Knowledge Graph Extraction (KGE) is impractical because the structural mismatch between natural language and knowledge graphs complicates the creation of automated prompts for large knowledge graphs.