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llm-applications
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llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

by ray-project · GitHub
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anyscalefine-tuningllama2CC-BY-4.0Jupyter NotebookSelf-hostable
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Learn how to create applications that use advanced AI techniques for better information retrieval.

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1 8581 857
2026-07-202026-08-31
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📄 About

A comprehensive guide to building RAG-based LLM applications for production.

llm-applications has 1.9k stars on GitHub. It has been forked 255 times. llm-applications is written mainly in Jupyter Notebook. It has been in active development since 2023. llm-applications is available under the CC-BY-4.0 license. Its main topics are anyscale, fine-tuning, llama2, llms.

Frequently asked questions

What is llm-applications?

A comprehensive guide to building RAG-based LLM applications for production.

Is llm-applications open source?

llm-applications is an open-source project. It is released under the CC-BY-4.0 license.

Is llm-applications free?

Yes. llm-applications is free and open source — you can use, modify and self-host it.

What license does llm-applications use?

llm-applications is available under the CC-BY-4.0 license.

What language is llm-applications written in?

llm-applications is written mainly in Jupyter Notebook.

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