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LARS
Python

LARS

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

by abgulati · GitHub
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genaillmsragAGPL-3.0PythonSelf-hostable
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In plain words

Run a local AI model that answers questions based on your own documents with LARS.

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638637
2026-07-202026-08-31
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📄 About

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

LARS has 637 stars on GitHub. It has been forked 59 times. LARS is written mainly in Python. It has been in active development since 2024. LARS is available under the AGPL-3.0 license. Its main topics are genai, llms, rag.

Frequently asked questions

What is LARS?

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

Is LARS open source?

LARS is an open-source project. It is released under the AGPL-3.0 license.

Is LARS free?

Yes. LARS is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.

What license does LARS use?

LARS is available under the AGPL-3.0 license.

What language is LARS written in?

LARS is written mainly in Python.

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