LLMWare
Dev tool to make AI apps to deploy privately or locally
LLMWare launched on October 14, 2024 with 358 votes, #106 of 5,185 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
LLMWare is an open-source development tool for building AI applications that can be deployed privately or locally. It provides small language models designed specifically for regulated industries like financial services and compliance. The platform offers an end-to-end solution for retrieval-augmented generation (RAG) and AI agent workflow automation, allowing developers to create and deploy AI applications without relying on external cloud services.
written from the facts on this page · September 2026
From the sources
Pioneering AI development tools and small language models built for financial services, compliance and other regulatory intensive industries in private cloud or local deployment. Innovative end to end solution for RAG and AI Agent Workflow automation framework
Pioneering AI Tools Built for Financial, Legal, Compliance, and Regulatory-Intensive Industries in Private Cloud. Innovative End-to-End Solution from Specialized LLMs to RAG Framework.
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LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG2024 · github.com · ▲51Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a…
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Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...

Open-Source Alternative to OpenAI Platform, for Local Models2025 · github.com · ▲93Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
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