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bge reranker large

The bge-reranker-large is a cross-encoder model designed to refine the results of initial vector searches in RAG pipelines. Unlike bi-encoders that rely on cosine similarity between embeddings, this model performs deep interaction between the query and the candidate document to provide a precise relevance score. It is specifically engineered to mitigate the 'lost in the middle' phenomenon and reduce hallucinations by ensuring only the most contextually accurate chunks are passed to the LLM. For developers, it integrates as a second-stage filtering step after an initial retrieval from a vector database, significantly increasing precision at the cost of slight latency increases per document.

BAAIfeature-extraction
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01 / MODEL CARD

Model card

The bge-reranker-large is a cross-encoder model designed to refine the results of initial vector searches in RAG pipelines. Unlike bi-encoders that rely on cosine similarity between embeddings, this model performs deep interaction between the query and the candidate document to provide a precise relevance score. It is specifically engineered to mitigate the 'lost in the middle' phenomenon and reduce hallucinations by ensuring only the most contextually accurate chunks are passed to the LLM. For developers, it integrates as a second-stage filtering step after an initial retrieval from a vector database, significantly increasing precision at the cost of slight latency increases per document.

Model typefeature-extraction
ProviderBAAI
Licensemit
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/BAAI/bge-reranker-large
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Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: BAAI/bge-reranker-large
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model BAAI/bge-reranker-large
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model BAAI/bge-reranker-large README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('BAAI/bge-reranker-large')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/BAAI/bge-reranker-large.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/BAAI/bge-reranker-large.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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