K-GRASP: Tacit Knowledge Externalisation with Language Models and Knowledge Graphs
This work proposes an architecture called K-GRASP (Knowledge Graph-based Retrieval-Augmented Structured Prompting), which combines the representational power of knowledge graphs (KG) with the probabilistic reasoning capabilities of Large Language Models (LLMs) to address the externalisation of tacit knowledge.