knowusuboaky.r-universe.dev

[knowusuboaky] RAGFlowChainR 0.1.7

kwadwo.owusuboakye@outlook.com (Kwadwo Daddy Nyame Owusu Boakye) — Sun, 22 Feb 2026 18:07:03 GMT

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 .

[knowusuboaky] VectrixDB 1.1.2

kwadwo.owusuboakye@outlook.com (Kwadwo Daddy Nyame Owusu Boakye) — Wed, 18 Feb 2026 19:00:21 GMT

A lightweight vector database for text retrieval in R with embedded machine learning models and no external API (Application Programming Interface) keys. Supports dense and hybrid search, optional HNSW (Hierarchical Navigable Small World) approximate nearest-neighbor indexing, faceted filters with ACL (Access Control List) metadata, command-line tools, and a local dashboard built with 'shiny'. The HNSW method is described by Malkov and Yashunin (2018) .

[knowusuboaky] chatLLM 0.1.4

kwadwo.owusuboakye@outlook.com (Kwadwo Daddy Nyame Owusu Boakye) — Sun, 15 Feb 2026 10:59:36 GMT

Provides a flexible interface for interacting with Large Language Model ('LLM') providers including 'OpenAI', 'Azure OpenAI', 'Azure AI Foundry', 'Groq', 'Anthropic', 'DeepSeek', 'DashScope', 'Gemini', 'Grok', 'GitHub Models', and AWS Bedrock. Supports both synchronous and asynchronous chat-completion APIs, with features such as retry logic, dynamic model selection, customizable parameters, and multi-message conversation handling. Designed to streamline integration with state-of-the-art LLM services across multiple platforms.

[knowusuboaky] LLMAgentR 0.3.2

kwadwo.owusuboakye@outlook.com (Kwadwo Daddy Nyame Owusu Boakye) — Sat, 14 Feb 2026 19:55:00 GMT

Provides modular, graph-based agents powered by large language models (LLMs) for intelligent task execution in R. Supports structured workflows for tasks such as forecasting, data visualization, feature engineering, data wrangling, data cleaning, 'SQL', code generation, weather reporting, and research-driven question answering. Each agent performs iterative reasoning: recommending steps, generating R code, executing, debugging, and explaining results. Includes built-in support for packages such as 'tidymodels', 'modeltime', 'plotly', 'ggplot2', and 'prophet'. Designed for analysts, developers, and teams building intelligent, reproducible AI workflows in R. Compatible with LLM providers such as 'OpenAI', 'Anthropic', 'Groq', and 'Ollama'. Inspired by the Python package 'langagent'.