rlama

What problem does it solve?

This Skill provides a fully local, offline solution for managing Retrieval-Augmented Generation (RAG) systems, enabling you to build and query knowledge bases without sending data to the cloud.

Core Features & Use Cases

• Local RAG Management: Create, query, add/remove documents, and delete RAG systems entirely on your machine.
• Diverse Document Support: Indexes text, documents (PDF, DOCX), code, and more.
• Use Case: Build a private, searchable knowledge base from your research papers, personal notes, and project documentation that you can query using natural language, all while ensuring your data never leaves your local environment.

Quick Start

Use the rlama skill to query your local RAG system named 'my-docs' with the question 'what is the main idea?'.