jiangxinke/Agentic-RAG-R1
Agentic RAG R1 Framework via Reinforcement Learning
This framework helps AI/ML researchers and developers enhance the reasoning and search capabilities of their large language models (LLMs). By training a base LLM with reinforcement learning, you can feed in complex questions and external knowledge bases to get back more accurate and contextually rich answers. It's designed for those building advanced AI applications that require autonomous decision-making and deep information retrieval.
393 stars.
Use this if you are developing an AI application where a base language model needs to perform complex searches and generate highly accurate, fact-checked responses by autonomously deciding what information to retrieve and how to use it.
Not ideal if you are a business user looking for a ready-to-use chatbot or a simple RAG solution without extensive AI model development and training.
Stars
393
Forks
46
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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