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# BEIR
Beir is a benchmark of information retrieval. It was used for benchmarking Azure AI Search at Microsoft tech community - [Azure AI Search: Outperforming vector search with hybrid retrieval and…
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Hi,
I have recently switched to Pyterrier and have been pleased with the dense retrieval plug-ins. Thank you very much for creating the wonderful framework.
I have been going through the pain of…
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Today one need to define the tensor input dimensions (e.g https://github.com/vespa-engine/sample-apps/blob/master/dense-passage-retrieval-with-ann/src/main/application/schemas/query.sd#L31) it would b…
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https://arxiv.org/abs/1906.06626
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我的训练启动命令:
```bash
torchrun --nnodes $NNODES --nproc_per_node $NPROC_PER_NODE \
--node_rank $RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT \
-m FlagEmbedding.baai_general…
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Hello, are there any statistics regarding the inference time for the experiments in the 'Open Domain Question Answering over Tales via Dense Retrieval'?
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Hi, I noticed that your `beir==0.2.3` depends on `faiss-cpu`. While in your NeurIPS'2021 paper, you benchmarked several dense retrieval models on GPU. Did you use `faiss-gpu` for that? Have you consid…
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在模型调用的时候,会出现没有encode方法的报错。使用的是QWen0.5B模型:
`Error while evaluating CmedqaRetrieval: 'Qwen2Model' object has no attribute 'encode'
Traceback (most recent call last):
File "/data2/mteb/zhangchi/mteb…
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Hello, I see your example dense+sparse embeddings of BGE-M3.
I have updated the pymilvus using `git+https://github.com/milvus-io/pymilvus`
But when I run the example script, I get an error.
```
sp…
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Pre-training:
1. Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering(ACL2022)
2. RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Langua…