# NovaSearch-Team/RAG-Retrieval

<https://repo.masters-masters.com/en/repos/NovaSearch-Team/RAG-Retrieval>

[Home](https://repo.masters-masters.com/en) › [NovaSearch-Team](https://repo.masters-masters.com/en/owners/NovaSearch-Team) › [RAG-Retrieval](https://repo.masters-masters.com/en/repos/NovaSearch-Team/RAG-Retrieval)

NovaSearch-Team/RAG-Retrieval has 1,137 stars on GitHub. Its RepoMasters card: Beta tier. Unify Efficient Fine-tuning of RAG Retrieval, including Embedding…

| Field | Value |
| --- | --- |
| Owner | [NovaSearch-Team](https://repo.masters-masters.com/en/owners/NovaSearch-Team) |
| Stars | 1,137 |
| Forks | 88 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | ai, llm, nlp, rag, retrieval-augmented-generation |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [NovaSearch-Team/RAG-Retrieval](https://github.com/NovaSearch-Team/RAG-Retrieval) |

## Repository

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

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.