reasoning-on-graphs
Examine an innovative framework that merges Large Language Models (LLMs) with Knowledge Graphs (KGs) to enable precise and explainable reasoning. The framework employs a planning-retrieval-reasoning sequence, using KGs to develop authentic plans that help generate interpretable outcomes. Access automated resources such as pre-trained weights and datasets for easy integration, and investigate plug-and-play reasoning with multiple LLMs. Suitable for developers looking to improve machine reasoning functionalities while maintaining transparency and accuracy.
