Retrieval-Augmented Generation and RAG Evaluation Tools R package ragR version 0.1.0 Provides tools for document ingestion, embedding storage, retrieval-augmented generation (RAG), and evaluation of question-answering systems. The package includes an R-native vector store, wrappers for OpenAI embedding and chat-completion application programming interfaces (APIs), question-answering logging utilities, and large language model (LLM)-based evaluation metrics for context precision, context recall, answer relevance, and faithfulness. These metrics are based on the Retrieval-Augmented Generation Assessment (RAGAS) framework. The retrieval-augmented generation methodology is described by Lewis et al. (2020) "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" <doi:10.48550/arXiv.2005.11401>. The evaluation metrics are based on Es et al. (2024) "RAGAS: Automated Evaluation of Retrieval Augmented Generation" <doi:10.18653/v1/2024.eacl-demo.16>. Software Depends: R (>= 4.1.0) Imports: dplyr, httr2, jsonlite, pdftools, readtext, tibble Suggests: plumber, stringr, yaml, testthat (>= 3.0.0) Muhammad Aimal Rehman <rehman.aimal@gmail.com> Comprehensive R Archive Network (CRAN) Muhammad Aimal Rehman [aut, cre], Zhili Lu [aut], Chi-Kuang Yeh [aut] GPL-3 2026-07-22 application/tgz https://CRAN.R-project.org/package=ragR doi:10.32614/CRAN.package.ragR en-US