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EdgeQuake

High-performance GraphRAG framework in Rust — turn documents into intelligent knowledge graphs for superior retrieval and generation.

★ 2,076 GitHub Apache-2.0 graphragrustragknowledge-graphlightragretrieval RAG & Knowledge

Overview

EdgeQuake is a high-performance GraphRAG framework written in Rust, inspired by LightRAG. It transforms documents into intelligent knowledge graphs to power superior retrieval-augmented generation. It ships with a modern web UI, a REST API with Swagger documentation, Docker-based deployment with no build step, support for OpenAI and Ollama providers, PDF ingestion, and hybrid full-text plus vector search. Apache-2.0 licensed.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  edgequake:
    image: ghcr.io/raphaelmansuy/edgequake:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/edgequake:/data

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Guides & articles

How to Deploy EdgeQuake with Docker: Step-by-Step Tutorial

Learn how to deploy EdgeQuake's GraphRAG stack with Docker in minutes — no Rust toolchain or Node.js required.

Aug 24, 2026

EdgeQuake: High-Performance GraphRAG in Rust — Complete Guide

Discover EdgeQuake, a Rust-based GraphRAG framework that turns documents into intelligent knowledge graphs for superior retrieval-augmented generation.

Aug 24, 2026