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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/>.

Versions across snapshots

VersionRepositoryFileSize
0.1.7 rolling linux/jammy R-4.5 RAGFlowChainR_0.1.7.tar.gz 1.5 MiB
0.1.7 rolling linux/noble R-4.5 RAGFlowChainR_0.1.7.tar.gz 1.5 MiB
0.1.7 rolling source/ R- RAGFlowChainR_0.1.7.tar.gz 1.4 MiB
0.1.7 latest linux/jammy R-4.5 RAGFlowChainR_0.1.7.tar.gz 1.5 MiB
0.1.7 latest linux/noble R-4.5 RAGFlowChainR_0.1.7.tar.gz 1.5 MiB
0.1.7 latest source/ R- RAGFlowChainR_0.1.7.tar.gz 1.4 MiB
0.1.7 2026-04-26 source/ R- RAGFlowChainR_0.1.7.tar.gz 1.4 MiB
0.1.7 2026-04-23 source/ R- RAGFlowChainR_0.1.7.tar.gz 1.4 MiB
0.1.7 2026-04-09 windows/windows R-4.5 RAGFlowChainR_0.1.7.zip 1.5 MiB

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