Current evaluations of Retrieval-Augmented Generation (RAG) systems primarily focus on general datasets, lacking effective testing on domain-specific datasets, especially in application scenarios that ...
This project, is a Python-based application focused on Retrieval Augmented Generation (RAG). It leverages a ChromaDB vector store for efficient data retrieval and includes components for data handling ...