Class ANN (1.135.0)

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ANN(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for ANN search.

RagManagedDb uses a tree-based structure to partition data and facilitate faster searches. As a tradeoff, it requires longer indexing time and manual triggering of index rebuild via the ImportRagFiles and UpdateRagCorpus API.

Attributes
Name	Description
tree_depth	int The depth of the tree-based structure. Only depth values of 2 and 3 are supported. Recommended value is 2 if you have if you have O(10K) files in the RagCorpus and set this to 3 if more than that. Default value is 2.
leaf_count	int Number of leaf nodes in the tree-based structure. Each leaf node contains groups of closely related vectors along with their corresponding centroid. Recommended value is 10 \* sqrt(num of RagFiles in your RagCorpus). Default value is 500.

Methods

ANN

ANN(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for ANN search.

RagManagedDb uses a tree-based structure to partition data and facilitate faster searches. As a tradeoff, it requires longer indexing time and manual triggering of index rebuild via the ImportRagFiles and UpdateRagCorpus API.