An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.
Run a local AI model that answers questions based on your own documents with LARS.
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Free · no card · unsubscribe anytimeAn 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.
An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.
LARS is an open-source project. It is released under the AGPL-3.0 license.
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.
LARS is available under the AGPL-3.0 license.
LARS is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.