Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Ingest local files and websites for generating responses with language models, keeping your data secure on your network.
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Free · no card · unsubscribe anytimeIngest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
local-rag has 759 stars on GitHub. It has been forked 95 times. local-rag is written mainly in Python. It has been in active development since 2024. local-rag is available under the GPL-3.0 license. Its main topics are large-language-models, llm, ollama, rag.
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
local-rag is an open-source project. It is released under the GPL-3.0 license.
Yes. local-rag is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
local-rag is available under the GPL-3.0 license.
local-rag is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.