# ray-project/llm-applications

<https://repo.masters-masters.com/en/repos/ray-project/llm-applications>

[Home](https://repo.masters-masters.com/en) › [ray-project](https://repo.masters-masters.com/en/owners/ray-project) › [llm-applications](https://repo.masters-masters.com/en/repos/ray-project/llm-applications)

ray-project/llm-applications has 1,864 stars on GitHub. Its RepoMasters card: Beta tier. A comprehensive guide to building RAG-based LLM applications for…

| Field | Value |
| --- | --- |
| Owner | [ray-project](https://repo.masters-masters.com/en/owners/ray-project) |
| Stars | 1,864 |
| Forks | 258 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | CC-BY-4.0 |
| Created | 2023 |
| Topics | llms, machine-learning, ray, anyscale, fine-tuning, llama2, openai, serving |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [ray-project/llm-applications](https://github.com/ray-project/llm-applications) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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