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/>.
Version: 0.1.5 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 Published: 2025-05-26 DOI: 10.32614/CRAN.package.RAGFlowChainR Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre] Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye at outlook.com> BugReports: https://github.com/knowusuboaky/RAGFlowChainR/issues License: MIT + file LICENSE URL: https://github.com/knowusuboaky/RAGFlowChainR, https://knowusuboaky.github.io/RAGFlowChainR/ NeedsCompilation: no Materials: README CRAN checks: RAGFlowChainR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RAGFlowChainR to link to this page.
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