Package: ragR
Title: Retrieval-Augmented Generation and RAG Evaluation Tools
Version: 0.1.0
Authors@R: c(
    person(
        given = "Muhammad Aimal",
        family = "Rehman",
        email = "rehman.aimal@gmail.com",
        role = c("aut", "cre")
    ),
    person(
        given = "Zhili",
        family = "Lu",
        role = "aut"
    ),
    person(
        given = "Chi-Kuang",
        family = "Yeh",
        role = "aut"
    )
    )
Description: 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>.
License: GPL-3
URL: https://github.com/aimalrehman92/ragR
BugReports: https://github.com/aimalrehman92/ragR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, jsonlite, pdftools, readtext, tibble
Suggests: plumber, stringr, yaml, testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-22 10:53:27 UTC; root
Author: Muhammad Aimal Rehman [aut, cre], Zhili Lu [aut], Chi-Kuang Yeh
        [aut]
Maintainer: Muhammad Aimal Rehman <rehman.aimal@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-22 07:40:02 UTC
RemoteUrl: https://github.com/cran/ragR
RemoteRef: HEAD
RemoteSha: f01a408bd5d8935e6500b18833e581ed89998b6e