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.
如何使用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的使用案例
RLAMA的核心功能
Document indexing for intelligent retrieval
Multi-format support (text, code, PDF, DOCX)
Interactive query sessions
Local processing with privacy
RLAMA的常见问题
What formats of documents does RLAMA support?
Is my data secure when using RLAMA?