1、安装ollama https://ollama.com/download
2、ollama run llama3:8b
3、安装cuda12.4
4、conda create -n envname python=12.4 conda activate envname conda install pytorch==2.4.0 -c pytorch -c nvidia pip install -r requirements.txt
5、安装Neo4j Desktop，创建并运行一个实例，构建知识图谱,对需要搜索的entity建立向量索引，将索引名称填入neo4j_client.py中的get_entities_from_neo4j函数
6、按照config/.env.example，创建.env文件,其中apikey需要使用阿里云百炼的apikey
This project implements the Think-on-Graph 2.0 (ToG-2) framework described in the following paper:
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
Shengjie Ma, Chengjin Xu, Xuhui Jiang, Muzhi Li, Huaren Qu, Cehao Yang, Jiaxin Mao, Jian Guo
arXiv preprint arXiv:2407.10805v7
Submitted: July 15, 2024; Revised: February 10, 2025
DOI: 10.48550/arXiv.2407.10805