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
494758773
Bounce Rate
37.69%
Page per Visit
5.7
Visit Duration
00:06:29
