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llmware-ai/llmware

A unified framework for building local, private, and secure enterprise RAG pipelines using small, specialized LLMs optimized for on-device and edge deployment.

Core Features

Comprehensive Model Catalog: Access 300+ pre-optimized models, including specialized LLMware finetuned models and support for major open-source and cloud APIs.

Integrated RAG Pipeline: Full lifecycle support for connecting knowledge sources to generative AI, including document parsing, text chunking, and scalable knowledge base creation.

On-Device & Edge Optimization: Designed for AI PCs, laptops, and self-hosted environments, supporting various inferencing technologies (GGUF, OpenVINO, ONNXRuntime) across Windows, Mac, and Linux.

Multi-format Document Ingestion: Supports a wide range of document types (PDF, DOCX, PPTX, TXT, CSV, JSON, HTML, WAV, images) for building diverse knowledge bases.

Flexible Embedding & Vector DBs: Easily install and manage multiple embedding models and vector databases (Milvus, ChromaDB) within libraries.

Detailed Introduction

llmware is a powerful, unified framework designed to democratize enterprise-grade RAG (Retrieval Augmented Generation) applications. It focuses on enabling local, private, and secure LLM deployments, optimizing for AI PCs, laptops, and edge devices. By integrating a vast catalog of pre-optimized, specialized models with a complete RAG pipeline, llmware empowers developers to rapidly build knowledge-based AI solutions. Its vision emphasizes sustainable, cost-effective AI with a minimal compute footprint, making advanced LLM capabilities accessible for on-device execution across diverse platforms.