VectorIndex Constructors
Definition
Important
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Overloads
| Name | Description |
|---|---|
| VectorIndex() |
Initializes a new instance of the VectorIndex class. |
| VectorIndex(String, String) |
Initializes a new instance of the VectorIndex class. |
| VectorIndex(String, String, Nullable<Int64>, Nullable<Int64>, IList<String>) |
Initializes a new instance of the VectorIndex class. |
VectorIndex()
Initializes a new instance of the VectorIndex class.
public VectorIndex();
Public Sub New ()
Applies to
VectorIndex(String, String)
Initializes a new instance of the VectorIndex class.
public VectorIndex(string path, string type);
new Microsoft.Azure.Management.CosmosDB.Models.VectorIndex : string * string -> Microsoft.Azure.Management.CosmosDB.Models.VectorIndex
Public Sub New (path As String, type As String)
Parameters
- path
- String
The path to the vector field in the document.
- type
- String
The index type of the vector. Currently, flat, diskANN, and quantizedFlat are supported. Possible values include: 'flat', 'diskANN', 'quantizedFlat'
Applies to
VectorIndex(String, String, Nullable<Int64>, Nullable<Int64>, IList<String>)
Initializes a new instance of the VectorIndex class.
public VectorIndex(string path, string type, long? quantizationByteSize = default, long? indexingSearchListSize = default, System.Collections.Generic.IList<string> vectorIndexShardKey = default);
new Microsoft.Azure.Management.CosmosDB.Models.VectorIndex : string * string * Nullable<int64> * Nullable<int64> * System.Collections.Generic.IList<string> -> Microsoft.Azure.Management.CosmosDB.Models.VectorIndex
Public Sub New (path As String, type As String, Optional quantizationByteSize As Nullable(Of Long) = Nothing, Optional indexingSearchListSize As Nullable(Of Long) = Nothing, Optional vectorIndexShardKey As IList(Of String) = Nothing)
Parameters
- path
- String
The path to the vector field in the document.
- type
- String
The index type of the vector. Currently, flat, diskANN, and quantizedFlat are supported. Possible values include: 'flat', 'diskANN', 'quantizedFlat'
The number of bytes used in product quantization of the vectors. A larger value may result in better recall for vector searches at the expense of latency. This is only applicable for the quantizedFlat and diskANN vector index types.
This is the size of the candidate list of approximate neighbors stored while building the DiskANN index as part of the optimization processes. Large values may improve recall at the expense of latency. This is only applicable for the diskANN vector index type.
Array of shard keys for the vector index. This is only applicable for the quantizedFlat and diskANN vector index types.