RLAMA - Local RAG System

RLAMA (Retrieval-Augmented Language Model Adapter) provides fully local, offline RAG for semantic search over your documents.

When to Use This Skill

• Building knowledge bases from local documents
• Searching personal notes, research papers, or code documentation
• Document-based Q&A without sending data to the cloud
• Indexing project documentation for quick semantic lookup
• Creating searchable archives of PDFs, markdown, or code files

Prerequisites

RLAMA requires Ollama running locally:

# Verify Ollama is running
ollama list