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Right now when we are combining the outputs of a bm25 encoder and a dense retriever we simply do a weighted average of their scores. It's more standard to use [reciprocal rank fusion methods](https://…
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In my opinion, sparse vectors can solve two different problems:
1. Text search (TFIDF, BM25, SPLADE, etc.)
2. Weighted-keywords search
In both cases, we can have a sparse vector representation:…
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### Description
The system shall allow the user to present the sparse vector representation of the query to the system and perform an efficient and effective search of the inverted index to identify …
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你好：
请问在 CrossEvalCode 测试集上的测试结果，是否是依照测试集提供的提示和上下文构造方法测试的呢？
我看在文章中提到其中另含了标准化的类的定义。
> The top 5
matches, capped at 512 tokens, are added to the prompt, along
with formatted class …
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## 🚀 Feature Request
- [x] spase embedding 기법을 class별로 나누어서 구현 (mb25, tf-idf)
- [x] DPR 구현
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code：
```
analyzer = build_default_analyzer(language="zh")
bm25_ef = BM25EmbeddingFunction(analyzer)
bm25_ef.load("D:/Downloads/bm25_msmarco_v1.json")
def test():
entities = [....]
for en…
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http://blog.csdn.net/ntc10095/article/details/52704426
bm25实际上也是求两个句子的相似性
word2vec + bm25 = 两个句子相似性分数
textrank建立Graph得到句子的重要性统计。
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# python
BM25算法介绍
http://events.linuxfoundation.org/sites/events/files/slides/bm25.pdf
计算BM25
https://github.com/SolessChong/qa-demo/blob/master/search-engine/script.py
另一个实现
https://github.…