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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/>.
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Package details |
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| Author | Kwadwo Daddy Nyame Owusu Boakye [aut, cre] |
| Maintainer | Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com> |
| License | MIT + file LICENSE |
| Version | 0.1.5 |
| URL | https://github.com/knowusuboaky/RAGFlowChainR https://knowusuboaky.github.io/RAGFlowChainR/ |
| Package repository | View on CRAN |
| Installation |
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