---
license: apache-2.0
---


# Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language models

> [Tian Yu](https://tianyu0313.github.io/), [Shaolei Zhang](https://zhangshaolei1998.github.io/), and [Yang Feng](https://people.ucas.edu.cn/~yangfeng?language=en)*


## Model Details

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- **Discription:** This is Auto-RAG model trained with synthesized iterative retrieval instruction data. Details can be found in our paper.
- **Developed by:** ICTNLP Group. Authors: Tian Yu, Shaolei Zhang and Yang Feng.
- **Github Repository:** https://github.com/ictnlp/Auto-RAG
- **Paper Link:** https://arxiv.org/abs/2411.19443
- **Finetuned from model:** Meta-Llama3-8B-Instruct


## Uses

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You can directly deploy the model using vllm, such as:
```
CUDA_VISIBLE_DEVICES=6,7 python -m vllm.entrypoints.openai.api_server \
    --model PATH_TO_MODEL\
    --gpu-memory-utilization 0.9 \
    -tp 2 \
    --max-model-len 8192\
    --port 8000\
    --host 0.0.0.0
```

## Citation

```
@article{yu2024autorag,
      title={Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models}, 
      author={Tian Yu and Shaolei Zhang and Yang Feng},
      year={2024},
      eprint={2411.19443},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2411.19443}, 
}
```