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LightRAG

VERIFIED

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Downloads 0
Stars 35.6K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add HKUDS/LightRAG

Best for

RAG and knowledge

Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.

Choose it when

  • You want a GitHub-backed skill with 35.6K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed today
  • License: MIT
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
36K
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Stack fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Overview

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ragFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
5/23/2026
Published
5/23/2026

Frameworks & Tools

PythonRAG

Install

Free and open source

Compare AlternativesView on GitHubDocumentation

Author

H

HKUDS✓

@hkuds

Tags

ragretrievalgenaigptgpt-4graphragknowledge-graphlarge-language-modelsllmretrieval-augmented-generation

Platform Fit

Claude CodeOpenAI Agents

Health Signals

GitHub stars
35.6K
Quality score
75/100
Last GitHub push
May 23, 2026
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • —Open source (public GitHub repo)
  • —AI static analysis passed
  • —License: MIT
  • —Manually verified by team

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