Content & Writing · GitHub ·52 ★

LevelRAG

The official implementation of "LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers"

Details

Author
ictnlp
Category
Content & Writing
Platform
GitHub
Framework
custom
Language
python
Stars
52
First indexed
2026-05-15
Last active
2025-04-12
Directory sync
2026-05-15

Overview

The official implementation of "LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers"

Quick start

git

git clone https://github.com/ictnlp/LevelRAG

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What LevelRAG can do

  • Llm — llm task automation.
  • Writing — Drafts and polishes long-form text in your style.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is LevelRAG?
The official implementation of "LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers"
How do I install LevelRAG?
Use git: `git clone https://github.com/ictnlp/LevelRAG`. Full setup details on the source page linked above.
Is LevelRAG open source?
LevelRAG is published on GitHub.
What are alternatives to LevelRAG?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for LevelRAG is sourced from GitHub, published by ictnlp.

Last scraped: · First indexed:

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