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请问一下~
dense embedding可以结合向量库的搜索引擎，例如milvus、faiss进行使用。
那么，sparse embedding有没有什么可以推荐使用的搜索引擎或者快速检索方式和思路？
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想问下，我在用evaluate的过程中，先执行的对bge-m3的dense retrieval的评估，然后pooling_method不管选mean还是cls，recall20 100的分数都是0.0，非常奇怪，参数没有修改，但是用了自己的qa数据集
1. Generate Corpus Embedding
python step0-generate_embedding.py --enco…
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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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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I am encountering an issue when trying to reuse embeddings from Elasticsearch with Dense…
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Hi @maciejkula thanks again for a great library!
I have another question which is a little theoretical, I would like to understand how to handle negative examples explicitly in this library. So as …
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Hi,
I would like to leverage Pylops for the domain of 'phase retrieval', but I don't know how to start on this. A typical phase retrieval problem has the following form:
`|| y - | F^-1{ K * F{x}…
ghost updated
3 years ago
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Hello, I have a question about the BERT encoders. In the paper, it is said that "ANCE can be used to train any dense retrieval model. For simplicity, we use a simple set up in recent research (Luan et…
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A100测试
code:
```
import time
from FlagEmbedding import BGEM3FlagModel
model = BGEM3FlagModel('/home/admin/bge-m3', use_fp16=True)
sentences_1 = ["What is BGE M3?", "Defination of BM25"]
…
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Hi, I found it's a very interesting repo, it recommends some vector search services, I wonder why not use some vector search libraries instead of services, personal scene retrieval candidate set is sm…
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I have the following model using sequences to predict the next item:
```python
class Model(tfrs.models.Model):
def __init__(self):
super().__init__()
self.query_model = tf…