IRLFirst physical meetup — Bengaluru, Sat May 23, 4PM · RSVP on Luma
HomeToolsMCPHow It WorksStoriesPhilosophyCommunityArchitectureStar on GitHub
All Tools
L
RAGFreeOpen Source

LLMWARE

Enterprise RAG and agent workflows with small, specialized models

Apache-2.0

ABOUT

Integrating open-source small specialized models and connecting enterprise knowledge sources safely requires stitching together document parsing, chunking, embedding, retrieval, and model orchestration. llmware provides a complete, secure toolkit that runs locally on AI PCs, laptops, and edge devices across Windows, Mac, and Linux — eliminating cloud dependency, token costs, and data-leak risks while enabling fast enterprise RAG and agent workflows.

INSTALL
pip install llmware

INTEGRATION GUIDE

1. Build private, on-device RAG pipelines over thousands of documents with no data leaving the environment 2. Orchestrate multi-step agent workflows with function calling and specialized small models 3. Extract, summarize, and analyze documents at scale for IT service and support ticket automation 4. Run vision workflows that extract structured data from images and perform OCR or audio transcription 5. Generate natural-language-to-SQL queries and data analysis reports from raw enterprise datasets

TAGS

pythonragenterpriselocal-aiagent-workflowsdocument-processingedge-deployment
llmware — AI Tool | Agentic AI For Good