RLAMA

Retrieval-Augmented Local Assistant Model Agent

RLAMA is an open-source Retrieval-Augmented Generation (RAG) Command Line Interface (CLI) designed to work seamlessly with local Ollama models. It enables users to build, manage, and interact with powerful document-based question-answering systems entirely offline. Supporting multiple file formats like PDFs, Markdown, and text files, RLAMA offers intelligent document parsing and smart chunking for optimal context retrieval. Its interactive terminal allows natural language queries, while document watching ensures RAG systems stay updated automatically. Ideal for technical documentation, private knowledge bases, and research assistance, RLAMA prioritizes privacy and simplicity with minimal setup. Available for macOS, Linux, and Windows, it’s a versatile tool for secure, local document analysis.