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.
How to use 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.
RLAMA 's Use Cases
RLAMA 's Core Features
Document indexing for intelligent retrieval
Multi-format support (text, code, PDF, DOCX)
Interactive query sessions
Local processing with privacy
FAQ from RLAMA
What formats of documents does RLAMA support?
Is my data secure when using RLAMA?