Graphrag
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Overview
HEALTH SCORE
Fair
67out of 100
Security posture drags the score down. Maintainer coverage and development cadence help keep it from falling further.
LIFECYCLE
Declining
Maintainer activity has dropped significantly over the past six months. Only 10 active maintainers remain. Issue response times are now averaging 4 days.
Health breakdown
Fair(67/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 4 days.
Bus factor
10 active maintainers currently have merge rights.
Organization Diversity
Contributors span 794 organizations.
Project Achievements
Leaderboards
About
GraphRAG is a framework for building retrieval-augmented generation (RAG) applications using graph-based knowledge representation. It enables developers to create AI applications that combine large language models with structured graph data for more accurate and contextual responses.
First commit
Software value
$2.3M
Tags
gpt
gpt-4
gpt4
graphrag
llm
llms
rag
License(s)
MIT
Data sources
Git
GitHub