Class GoogleCloudAiplatformV1beta1RagVectorDbConfigRagManagedDbANN

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.

Inheritance
object
GoogleCloudAiplatformV1beta1RagVectorDbConfigRagManagedDbANN
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1RagVectorDbConfigRagManagedDbANN : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

LeafCount

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.

Declaration
[JsonProperty("leafCount")]
public virtual int? LeafCount { get; set; }
Property Value
Type Description
int?

TreeDepth

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.

Declaration
[JsonProperty("treeDepth")]
public virtual int? TreeDepth { get; set; }
Property Value
Type Description
int?

Implements