arag

by Ayanami0730 · Agent Tool · ★ 187

About arag

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.

agentagentic-aiagenticragdeepresearchevaluationgraphragllmllmagentsragreproduce

Quick Facts

Stars187
Forks23
LanguagePython
CategoryAgent Tool
Quality Score36.75/100
Open Issues2
Last Updated2026-02-06
Created2026-02-03
Platformspython
Est. Tokens~172k

Compatible Skills

These tools work well together with arag for enhanced workflows:

  • RAGLight — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (60%)
  • ragflow — semantic(0.41)+complementary+rare_topics+same_lang+shared_platform (59%)
  • argo — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • clangd-graph-rag — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • MODULAR-RAG-MCP-SERVER — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (55%)

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Frequently Asked Questions

What is arag?

arag is 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.. It is categorized as a Agent Tool with 187 GitHub stars.

What programming language is arag written in?

arag is primarily written in Python. It covers topics such as agent, agentic-ai, agenticrag.

How do I install or use arag?

You can find installation instructions and usage details in the arag GitHub repository at github.com/Ayanami0730/arag. The project has 187 stars and 23 forks, indicating an active community.

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