ToG alternatives for AI agents.

[NeurIPS '25] Knowledge Graph Generation from Any Text

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.

AI Powered Knowledge Graph Generator

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

Retrieval and Retrieval-augmented LLMs

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

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

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

Collect, organize, use, and share, all in OmniBox.

We build KGs the way nature builds matter

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个

Bringing BERT into modernity via both architecture changes and scaling

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

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

high-performance graph database for real-time use cases