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AI · February 11, 2024

LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG

Hi, 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…

LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG launched on February 11, 2024 with 51 votes, #912 of 3,962 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.

Visit github.com ↗Alternativestop 23% of February 2024

In plain words

LLMWare is an open-source RAG framework featuring specialized 1B language models designed for multi-step retrieval-augmented generation workflows. It targets developers and enterprises handling large volumes of documents and data who need practical AI automation for repetitive information processing tasks. The framework includes approximately 50 models available on Hugging Face and focuses on using smaller, specialized models rather than large general-purpose ones for improved efficiency in document-heavy workflows.

written from the facts on this page · September 2026

From the sources

Unified framework for building enterprise RAG pipelines with small, specialized models - llmware-ai/llmware

In the maker’s words, at launch

Hi, 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…

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