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cff-version: 1.2.0
message: 'To cite package "RAGFlowChainR" in publications use:'
type: software
license: MIT
title: 'RAGFlowChainR: Retrieval-Augmented Generation (RAG) Workflows in R with Local
  and Web Search'
version: 0.1.7
doi: 10.32614/CRAN.package.RAGFlowChainR
abstract: 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/>.
authors:
- family-names: Owusu Boakye
  given-names: Kwadwo Daddy Nyame
  email: kwadwo.owusuboakye@outlook.com
repository: https://knowusuboaky.r-universe.dev
repository-code: https://github.com/knowusuboaky/RAGFlowChainR
commit: 89378bea42d256bfd3b5b87d1868d355c80c62a7
url: https://knowusuboaky.github.io/RAGFlowChainR/
date-released: '2026-02-22'
contact:
- family-names: Owusu Boakye
  given-names: Kwadwo Daddy Nyame
  email: kwadwo.owusuboakye@outlook.com