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allen-li1231
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treehop-rag

Text Ranking
Safetensors
treehop-rag
Information Retrieval
Retrieval-Augmented Generation
model_hub_mixin
multi-hop question answering
pytorch_model_hub_mixin
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@@ -15,6 +15,7 @@ tags:
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  # TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
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  [![arXiv](https://img.shields.io/badge/arXiv-2504.20114-b31b1b.svg?style=flat)](https://arxiv.org/abs/2504.20114)
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  [![HuggingFace](https://img.shields.io/badge/HuggingFace-Model-blue.svg)](https://huggingface.co/allen-li1231/treehop-rag)
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  [![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://img.shields.io/badge/license-MIT-blue)
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  ## Preliminaries
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- This repository comes with [evaluate embedding databases](./embedding_data/) for reproduction purpose. Activate [git LFS](https://docs.github.com/en/repositories/working-with-files/managing-large-files/installing-git-large-file-storage) to clone the repository using `git lfs clone [LINK_TO_REPO]`, or pull the data under the existing local repository using:
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  ```sh
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  git lfs pull
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  ```
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  ## Multi-hop Retrieval with TreeHop: How-to-Use
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  Here we use [MultiHop RAG evaluate dataset](https://arxiv.org/abs/2401.15391) in the example below.
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- The repository comes with the necessary files for the example to run, see [preliminaries](#preliminaries).
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  ```python
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  from tree_hop import TreeHopModel
 
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  # TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
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+ [![GitHub](https://img.shields.io/badge/GitHub-%23121011.svg?logo=github&logoColor=white)](https://github.com/allen-li1231/TreeHop-RAG)
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  [![arXiv](https://img.shields.io/badge/arXiv-2504.20114-b31b1b.svg?style=flat)](https://arxiv.org/abs/2504.20114)
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  [![HuggingFace](https://img.shields.io/badge/HuggingFace-Model-blue.svg)](https://huggingface.co/allen-li1231/treehop-rag)
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  [![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://img.shields.io/badge/license-MIT-blue)
 
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  ## Preliminaries
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+ [This repository](https://github.com/allen-li1231/TreeHop-RAG) comes with [evaluate embedding databases](./embedding_data/) for reproduction purpose. Activate [git LFS](https://docs.github.com/en/repositories/working-with-files/managing-large-files/installing-git-large-file-storage) to clone the repository using `git lfs clone [LINK_TO_REPO]`, or pull the data under the existing local repository using:
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  ```sh
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  git lfs pull
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  ```
 
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  ## Multi-hop Retrieval with TreeHop: How-to-Use
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  Here we use [MultiHop RAG evaluate dataset](https://arxiv.org/abs/2401.15391) in the example below.
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+ [The repository](https://github.com/allen-li1231/TreeHop-RAG) comes with the necessary files for the example to run, see [preliminaries](#preliminaries).
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  ```python
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  from tree_hop import TreeHopModel