# huangjia2019/rag-in-action

<https://repo.masters-masters.com/en/repos/huangjia2019/rag-in-action>

[Home](https://repo.masters-masters.com/en) › [huangjia2019](https://repo.masters-masters.com/en/owners/huangjia2019) › [rag-in-action](https://repo.masters-masters.com/en/repos/huangjia2019/rag-in-action)

huangjia2019/rag-in-action has 858 stars on GitHub. Its RepoMasters card: Beta tier. End-to-end RAG system design, evaluation, and optimization…

| Field | Value |
| --- | --- |
| Owner | [huangjia2019](https://repo.masters-masters.com/en/owners/huangjia2019) |
| Stars | 858 |
| Forks | 332 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2025 |
| Topics | agent, ai, llm, rag |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [huangjia2019/rag-in-action](https://github.com/huangjia2019/rag-in-action) |

## Repository

End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
