CasRel alternatives for AI agents.

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

knowledge graph知识图谱,从零开始构建知识图谱

KG-BERT: BERT for Knowledge Graph Completion

[NeurIPS '25] Knowledge Graph Generation from Any Text

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

We build KGs the way nature builds matter

Bringing BERT into modernity via both architecture changes and scaling

AI Powered Knowledge Graph Generator

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

high-performance graph database for real-time use cases

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

Privacy-respecting metasearch engine

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"