RAG-Retrieval
A unified and efficient RAG retrieval refinement and inference framework
CommonProductProgrammingNatural Language ProcessingInformation retrieval
RAG-Retrieval is a full-stack RAG refinement and inference framework that supports the inference of various RAG Reranker models, including vector models, delayed interactive models, and interactive models. It provides a lightweight Python library that allows users to call different RAG sorting models in a unified manner, simplifying the use and deployment of sorting models.
RAG-Retrieval Visit Over Time
Monthly Visits
492133528
Bounce Rate
36.20%
Page per Visit
6.1
Visit Duration
00:06:33
RAG-Retrieval Visit Trend
RAG-Retrieval Visit Geography
No Geography Data
