"LightRAG: Simple and Fast Retrieval-Augmented Generation"

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.

搜索所有中文NLP数据集，附常用英文NLP数据集

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

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

A unified, comprehensive and efficient recommendation library

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

novel deep learning research works with PaddlePaddle

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

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

Efficient Retrieval Augmentation and Generation Framework

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

knowledge graph知识图谱,从零开始构建知识图谱

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

Prompt-To-Agent : Create custom engineering agents for your codebase