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llmware-ai/llmware

A unified Python framework for building local, private, and secure enterprise RAG pipelines using small, specialized LLMs and a comprehensive model catalog.

Core Features

Comprehensive Model Catalog: Access to 300+ pre-optimized, quantized models (including GGUF, OpenVINO, ONNXRuntime) and support for major open-source and cloud LLMs.

Integrated RAG Pipeline: End-to-end components for document parsing, ingestion, text chunking, embedding, and scalable knowledge base creation.

On-Device & Local Deployment: Optimized for AI PCs, laptops, edge devices, and self-hosted environments across Windows, Mac, and Linux.

Specialized Enterprise Models: Includes 50+ fine-tuned SLIM, Bling, Dragon, and Industry-Bert models for specific enterprise automation tasks.

Multi-format Document Ingestion: Supports a wide range of document types including PDF, PPTX, DOCX, XLSX, TXT, CSV, MD, JSON, WAV, PNG, JPG, HTML.

Detailed Introduction

llmware is a powerful, unified framework designed for developers to build knowledge-based, local, private, and secure LLM applications, particularly focusing on Retrieval Augmented Generation (RAG) pipelines. It addresses the need for sustainable and cost-effective AI by optimizing for on-device and self-hosted deployments, leveraging small, specialized models. The framework integrates a vast catalog of over 300 pre-optimized models with a complete RAG pipeline, offering robust document processing, scalable knowledge base creation, and support for various inferencing technologies. This enables rapid development of enterprise-grade AI solutions with a minimal compute footprint.