RaguTeam/RAGU

A modular graph-based Retrieval-Augmented Generation (RAG) system

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

AI Powered Knowledge Graph Generator

RAG that intelligently adapts to your use case, data, and queries

Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.

Python toolkit for building graph-enhanced GenAI applications

Interactive 3D visualization of knowledge graphs generated by Microsoft GraphRAG. Explore entities, relationships, and communities with immersive visual analytics.

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation