An Embeddable Graph Database with ISO Graph Query Language Support.

Convert Wikidata Items to vector embeddings

An open-source library that leverages Python’s data science ecosystem to build powerful end-to-end Entity Resolution workflows.

LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

Implementation of the sap-rpt-1-oss deep learning model with inference pipeline as described in the paper "ConTextTab: A Semantics-Aware Tabular In-Context Learner".

No-code Benchmarking of Entity Resolution

Official Repository: A Comprehensive Benchmark for Logical Reasoning in MLLMs

Official code for "Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models"

Build Real-Time Knowledge Graphs for AI Agents

The LLM Evaluation Framework

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

This project implements a comprehensive framework for Knowledge Graph Retrieval Augmented Generation (KG-RAG). It focuses on financial data from SEC 10-Q filings and explores how knowledge graphs c…

Knowledge Graph-Guided Retrieval Augmented Generation, NAACL 2025

In-depth study of the graphrag

[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

Build fast and accurate GenAI apps with GraphRAG SDK at scale.

Official Repository of "LLM × DATA" Survey Paper

Awesome Papers About Performing Prompting On Graphs

Tips for Writing a Research Paper using LaTeX

A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf

Official Implementation of ICML 2025 Paper: "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".

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 ba…

(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

A library for efficient similarity search and clustering of dense vectors.

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning