wlzhang2020/ReasonRAG
Source code of paper: Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
46 stars
Python
1 awesome list
qualidea1217/HiPRAG
HiPRAG (Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation) is a reinforcement learning method designed for training reasoning-and-searching interleaved LLMs with improved efficiency and reduced oversearching as well as undersearching behavior.
- Stars
- 21
- Forks
- 2
- Commits
- 6
- Language
- Python
- Awesome lists
- 1
Similar repositories
RAG-Gym/RAG-Gym
Official repository for RAG-Gym
123 stars
Python
1 awesome list
RUCAIBox/R1-Searcher
R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
713 stars
Python
1 awesome list
RUC-NLPIR/SmartSearch
No description.
41 stars
Python
1 awesome list
Marker-Inc-Korea/AutoRAG
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
4790 stars
Python
2 awesome lists
tiannuo-yang/SearchAgent-X
A High-Efficiency System of Large Language Model Based Search Agents
78 stars
Python
1 awesome list
Tracked growth
2 captures since 2026-05-23
Latest capture 2026-05-31 03:03
Stars history
Total starsCommits history
Default branch commitsMetadata
- Created: 2025-10-10
- First commit: 2025-10-10
- Last pushed: 2025-10-10
- Archived: no
- Stack detected: —
- License: Apache-2.0
AI development signals
No AI development config files detected.