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LLM-Ware

Unified enterprise RAG framework with small, specialized models

★ 14,815 GitHub Apache-2.0 ragenterprisedocument-processingllmembeddingknowledge-base RAG & Wissen

Überblick

LLM-Ware is an open-source framework for building enterprise-grade RAG (Retrieval-Augmented Generation) pipelines. It provides a unified API for working with small, specialized LLMs optimized for document processing, retrieval, and generation tasks. With 14k+ stars, it supports multiple document formats (PDF, DOCX, PPTX, XLSX, CSV, images), and offers tools for parsing, chunking, embedding, and querying - all designed for production RAG workflows.

Anforderungen

Min vCPU
1
Min RAM
1024 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
4096 MB
Rec Disk
20 GB

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Anleitungen & Artikel

Getting Started with LLM-Ware: From Document to RAG Query in Minutes

Step-by-step tutorial on installing LLM-Ware, parsing documents, generating embeddings, and running RAG queries with small local models. Complete code examples included.

Jul 1, 2026

LLM-Ware: Build Enterprise RAG Pipelines with Small, Specialized Models

LLM-Ware is an open-source framework for building production RAG pipelines with small models, multi-format document parsing, and local embedding. Complete guide with key features and use cases.

Jul 1, 2026