edgequake

High-performance GraphRAG inspired from LightRag written in Rust

View on GitHub↗Upstream raphaelmansuy/edgequake↗

Builder

raphaelmansuy

raphaelmansuy • individual

Stars

1,562

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Forks

167

Using upstream fork count

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Activity Score

0/100

94 commits in 30d

Created

Dec 21, 2025

Project creation date

README Summary

EdgeQuake is a high-performance GraphRAG implementation written in Rust, inspired by LightRAG. It provides efficient graph-based retrieval-augmented generation capabilities with focus on performance and scalability.

AI Dev Skills

Unmapped

Tags

Retrieval-Augmented GenerationGraph-based Knowledge RepresentationKnowledge Graph ConstructionDocument Embedding and IndexingHigh-performance Systems ProgrammingRust Systems DevelopmentVector Similarity SearchNatural Language ProcessingEnterprise Document IntelligenceResearchEnterprise Knowledge ManagementResearch Paper AnalysisGraph Neural NetworksInformation RetrievalEducationGraph-based AIGraph-based ReasoningLegal TechSelf-hostedRust Systems ProgrammingKnowledge-Grounded AIKnowledge Base SearchTextHigh-Performance ComputingContextual Information RetrievalDocument ProcessingOn-premiseHealthcareHigh-Performance AI SystemsDocument Question AnsweringEdge ComputingRust

Recent Activity

Updated 1 months ago

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215

Quality

prototype

Quality: medium
Maturity: prototype

PM Skills

Developer Platform

Languages

Rust100.0%

Timeline

Project created: Dec 21, 2025
Forked: Feb 17, 2026
Your last push: 1 months ago
Upstream last push: 7 days ago
Tracked since: Feb 17, 2026

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