開発
#python
lightrag-graph-based-retrieval-augmented-generation-framework
LightRAG is a Python-based retrieval-augmented generation framework that builds knowledge graphs from documents for more connected, contextual retrieval. Published at EMNLP 2025, it enables graph-powered RAG with support for multiple storage backends and LLM providers.
DeepseekModel
キュレーション済みスキル
品質 良好 · 64
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=agentskillexchange-skills-skills-lightrag-graph-rag-framework-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name LightRAG Graph-Based Retrieval-Augmented Generation Framework slug lightrag-graph-rag-framework description LightRAG is a Python-based retrieval-augmented generation framework that builds knowledge graphs from documents for more connected, contextual retrieval. Published at EMNLP 2025, it enables graph-powered RAG with support for multiple storage backends and LLM providers. github_stars 33160 verification security_reviewed source https://github.com/HKUDS/LightRAG category Data Extraction & Transformation framework Multi-Framework tool_ecosystem {"github_repo":"hkuds/lightrag","github_stars":33160} LightRAG Graph-Based Retrieval-Augmented Generation Framework LightRAG is a Python-based retrieval-augmented generation framework that builds knowledge graphs from documents for more connected, contextual retrieval. Published at EMNLP 2025, it enables graph-powered RAG with support for multiple storage backends and LLM providers. Installation Use the upstream install or setup path that matches your environment: Note : You can also use pip if you prefer, but uv is recommended for better performance and more reliable dependency management. uv tool install "lightrag-hku[api]" git clone https://github.com/HKUDS/LightRAG.git make dev Requirements and caveats from upstream: [2026.03]🎯[New Feature]: Introduced a setup wizard. Support for local deployment of embedding, reranking, and storage backends via Docker. python -m venv .venv Basic usage or getting-started notes: 📦 Offline Deployment : For offline or air-gapped environments, see the Offline Deployment Guide for instructions on pre-installing all dependencies and cache files. The LightRAG Server is designed to provide Web UI and API support. The Web UI facilitates document indexing, knowledge graph exploration, and a simple RAG query interface. LightRAG Server also provide an Ollama compat... Install from PyPI Source: https://github.com/HKUDS/LightRAG Extracted from upstream docs: https://raw.githubusercontent.com/HKUDS/LightRAG/HEAD/README.md Source Agent Skill Exchange
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子（skill/v1） |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ（配列） |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL（本ページ） |
| exported_at | エクスポート日時（ダウンロード毎） |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定：provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明（Coze / Dify / Claude / カスタム） |
