# Ayanami0730/arag

<https://repo.masters-masters.com/en/repos/Ayanami0730/arag>

[Home](https://repo.masters-masters.com/en) › [Ayanami0730](https://repo.masters-masters.com/en/owners/Ayanami0730) › [arag](https://repo.masters-masters.com/en/repos/Ayanami0730/arag)

Ayanami0730/arag has 363 stars on GitHub. Its RepoMasters card: Alpha tier. A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval…

| Field | Value |
| --- | --- |
| Owner | [Ayanami0730](https://repo.masters-masters.com/en/owners/Ayanami0730) |
| Stars | 363 |
| Forks | 61 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2026 |
| Topics | agent, agentic-ai, agenticrag, deepresearch, evaluation, graphrag, llm, llmagents, rag, reproduce |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Ayanami0730/arag](https://github.com/Ayanami0730/arag) |

## Repository

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.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.