RAGViz: Diagnose and Visualize Retrieval-Augmented Generation

Tevin Wang, Jingyuan He, Chenyan Xiong

Retrieval-augmented generation (RAG) combines knowledge from domain-specific sources into large language models to ground answer generation. Current RAG systems lack customizable v…