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Vector index preparing method, similar vector searching method, and apparatuses for the methods

机译:向量索引准备方法,类似的向量搜索方法以及用于该方法的设备

摘要

In the present invention, a similar vector is searched from a several hundreds dimensional vector database at a high speed, by a single vector index, and in accordance with either measure of an inner product or a distance by designating a similarity search range and maximum obtained pieces number, vector index preparation is performed by decomposing each vector into a plurality of partial vectors and characterizing the vector by a norm division, belonging region and declination division to prepare an index, and similarity search is performed by obtaining a partial query vector and partial search range from a query vector and search range, performing similarity search in each partial space to accumulate a difference from the search range and to obtain an upper limit value, and obtaining a correct measure from a higher upper limit value to obtain a final similarity search result.
机译:在本发明中,通过指定一个相似性搜索范围和最大值,通过一个矢量索引并根据内积或距离的测量值,从一个数百个矢量数据库中高速搜索一个相似矢量。通过将每个向量分解为多个部分向量并通过范数划分,所属区域和纬度划分来表征向量以准备索引来执行向量索引准备,并通过获取部分查询向量和部分查询来进行相似度搜索从查询向量和搜索范围中搜索范围,在每个局部空间中进行相似度搜索以累积与搜索范围的差异并获得上限值,并从较高的上限值中获得正确的度量以获得最终的相似度搜索结果。

著录项

  • 公开/公告号US2002178158A1

    专利类型

  • 公开/公告日2002-11-28

    原文格式PDF

  • 申请/专利权人 KANNO YUJI;

    申请/专利号US20010913960

  • 发明设计人 YUJI KANNO;

    申请日2001-08-21

  • 分类号G06F7/00;

  • 国家 US

  • 入库时间 2022-08-22 00:09:02

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