[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-03-25。"],[[["ScaNN index employs tree-quantization to accelerate vector similarity scoring by pruning the search space and compressing index size."],["Optimal tree partitioning in ScaNN is crucial for achieving high query-per-second rates and recall in nearest-neighbor queries."],["AlloyDB ScaNN automatically reduces dimensionality using Principal Component Analysis (PCA) to enhance speed and minimize resource consumption for high-dimensional embedding datasets."],["AlloyDB ScaNN compensates for recall loss from PCA by initially ranking a larger pool of PCA'ed vector candidates and subsequently re-ranking them using the original vectors."]]],[]]