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A-RAG
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
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Python
agentagent-harnessagentic-aiagenticragazuredeepagentsdeepagents-langgraphdeepresearchllmllmagentsragreproduce
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
Install
Universal installANY TOOL
$ npx skillcity@latest pko89403/A-RAGAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/pko89403/A-RAG.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
a-rag — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt