RAGFlowChainR: Retrieval-Augmented Generation (RAG) Workflows in R with Local
and Web Search
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: |
0.1.1 |
| 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: |
2025-04-24 |
| 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 |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
RAGFlowChainR results |
Documentation:
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