A comprehensive guide to building RAG-based LLM applications for production.
Learn how to create applications that use advanced AI techniques for better information retrieval.
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Free · no card · unsubscribe anytimeA 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.
A comprehensive guide to building RAG-based LLM applications for production.
llm-applications is an open-source project. It is released under the CC-BY-4.0 license.
Yes. llm-applications is free and open source — you can use, modify and self-host it.
llm-applications is available under the CC-BY-4.0 license.
llm-applications is written mainly in Jupyter Notebook.
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