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RAGFlowChainR  

Retrieval-Augmented Generation (RAG) Workflows in R with Local and Web Search
View on CRAN: Click here


Download and install RAGFlowChainR package within the R console
Install from CRAN:
install.packages("RAGFlowChainR")

Install from Github:
library("remotes")
install_github("cran/RAGFlowChainR")

Install by package version:
library("remotes")
install_version("RAGFlowChainR", "0.1.2")



Attach the package and use:
library("RAGFlowChainR")
Maintained by
Kwadwo Daddy Nyame Owusu Boakye
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-24
Latest Update: 2025-04-24
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/>.
How to cite:
Kwadwo Daddy Nyame Owusu Boakye (2025). RAGFlowChainR: Retrieval-Augmented Generation (RAG) Workflows in R with Local and Web Search. R package version 0.1.2, https://cran.r-project.org/web/packages/RAGFlowChainR. Accessed 08 May. 2025.
Previous versions and publish date:
0.1.0 (2025-04-24 09:50), 0.1.1 (2025-04-24 13:40)
Other packages that cited RAGFlowChainR R package
View RAGFlowChainR citation profile
Other R packages that RAGFlowChainR depends, imports, suggests or enhances
Complete documentation for RAGFlowChainR
Functions, R codes and Examples using the RAGFlowChainR R package
Full RAGFlowChainR package functions and examples
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