wlzhang2020/ReasonRAG
Source code of paper: Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
recursive rag with r1 reasoning
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Source code of paper: Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
Official repository for RAG-Gym
Build ChatGPT over your data, all with natural language
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Everything you need to know to build your own RAG application
IKEA: Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent