pat-jj/s3
[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)
This project helps integrate better search capabilities into AI models that generate text, known as Retrieval-Augmented Generation (RAG) systems. It takes an existing language model and a dataset, then outputs a more effective search component that helps the AI find relevant information faster and with less training data. This tool is for AI researchers and machine learning engineers who are building or improving RAG applications for question-answering, content generation, or other information retrieval tasks.
820 stars.
Use this if you are developing or refining a RAG system and need to improve how your language model finds and uses external information, especially if you have limited training data.
Not ideal if you are looking for a pre-trained, ready-to-use search engine or a tool to build a general-purpose conversational AI from scratch.
Stars
820
Forks
137
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 05, 2025
Commits (30d)
0
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