Highlights
Graph
Neo4j graph construction from unstructured data using LLMs
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
RAG that intelligently adapts to your use case, data, and queries