Package: RAGFlowChainR
Type: Package
Title: Retrieval-Augmented Generation (RAG) Workflows in R with Local
        and Web Search
Version: 0.1.5
Authors@R: person(given = "Kwadwo Daddy Nyame",
                  family = "Owusu Boakye",
                  email = "kwadwo.owusuboakye@outlook.com",
                  role = c("aut", "cre"))
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>
Description: Enables Retrieval-Augmented Generation (RAG) workflows in R by combining
    local vector search using 'DuckDB' with optional web search via the 'Tavily' API.
    Supports 'OpenAI'- and 'Ollama'-compatible embedding models, full-text and 'HNSW'
    (Hierarchical Navigable Small World) indexing, and modular large language model
    (LLM) invocation. Designed for advanced question-answering, chat-based
    applications, and production-ready AI pipelines. This package is the R
    equivalent of the 'python' package 'RAGFlowChain' available at
    <https://pypi.org/project/RAGFlowChain/>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/knowusuboaky/RAGFlowChainR,
        https://knowusuboaky.github.io/RAGFlowChainR/
BugReports: https://github.com/knowusuboaky/RAGFlowChainR/issues
Depends: R (>= 4.1.0)
Imports: DBI, duckdb (>= 0.10.0), httr, dplyr, pdftools, officer,
        rvest, xml2, curl,
Suggests: testthat (>= 3.0.0), jsonlite, stringi, magrittr, roxygen2
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-05-26 16:48:49 UTC; kwadw
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Repository: CRAN
Date/Publication: 2025-05-26 18:50:12 UTC
Built: R 4.5.2; ; 2026-01-21 04:48:03 UTC; windows
