每个文件都有各自要搜索的向量空间，并且每个文件中的结果都按数字排序。
Each file has its own vector space to search, and the results are numerically sorted within each file.
由于查询与结果之间共有的向量数非常多，因此相应的文件都列于搜索结果的顶部。
Due to the large number of vectors in common between the query and results, the appropriate files are listed at the top of the search results.
在我们的例子中，可以通过为词中的每个字母创建向量并返回向量空间中最接近的匹配结果来获得有效的搜索结果。
In our case, effective search results can be obtained by creating a vector for each letter in a word and returning results based on the closest match in vector space.
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