RLAMA

What it does

RLAMA (Retrieval-Augmented Local Assistant Model Agent) is an open-source AI solution that integrates with local AI models to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems. It allows users to build powerful document question-answering systems with multiple document formats, advanced semantic chunking, and local storage and processing.

Core features

• ✦Create, manage, and interact with RAG systems
• ✦Support for multiple document formats (.txt, .md, .pdf, etc.)
• ✦Advanced semantic chunking strategies
• ✦Local storage and processing with no data sent externally
• ✦Web crawling to create RAGs directly from websites
• ✦Directory watching for automatic RAG updates
• ✦Hugging Face integration with 45,000+ GGUF models
• ✦HTTP API server for application integration
• ✦Cross-platform support (macOS, Linux, Windows)
• ✦OpenAI model support alongside Ollama

Use cases

• →Query project documentation, manuals, and specifications
• →Create secure RAG systems for sensitive documents with full privacy
• →Query research papers, textbooks, and study materials for faster learning