RLAMA is a powerful local assistant tool designed for document question answering by employing Retrieval-Augmented Generation (RAG) systems. It connects to local Ollama models to index and process documents efficiently. Users can create, manage, and interact with their document knowledge bases securely on their local machines.
Cómo usar RLAMA?
To use RLAMA, first index your document folder using a command like 'rlama rag [model] [rag-name] [folder-path]'. Then, start an interactive session with 'rlama run [rag-name]' to query your documents.
Casos de uso de RLAMA
Características principales de RLAMA
Document indexing for intelligent retrieval
Multi-format support (text, code, PDF, DOCX)
Interactive query sessions
Local processing with privacy
Preguntas frecuentes de RLAMA
What formats of documents does RLAMA support?
Is my data secure when using RLAMA?