llmware is an open source framework designed to simplify the creation of enterprise-grade applications powered by large language models. The platform focuses on building secure and private AI workflows that can run locally on laptops, edge devices, or self-hosted servers without relying exclusively on cloud APIs. It provides a unified interface for constructing retrieval-augmented generation pipelines, agent workflows, and document intelligence applications. One of the framework’s defining characteristics is its collection of small specialized language models optimized for specific tasks such as summarization, classification, and document analysis. The system supports a wide range of inference backends including PyTorch, OpenVINO, ONNX Runtime, and other optimized runtimes, allowing developers to choose the most efficient execution environment for their hardware.
Features
- Framework for building retrieval-augmented generation applications
- Collection of specialized small language models
- Local and private deployment on edge or enterprise infrastructure
- Support for multiple inference runtimes and hardware backends
- Tools for building agent workflows and document intelligence systems
- High-level Python interface for rapid application development