put-vector-index-fusion-阿里云帮助中心

Use the invoke-operation generic command of ossutil to call the PutVectorIndexFusion operation and create a Fusion-mode vector index in a vector bucket.

Note

Fusion Mode is currently in invitational preview and is available only in the Indonesia (Jakarta) region. For creating a vector index in Standard Mode, see put-vector-index.

Permissions

By default, Alibaba Cloud accounts have all permissions, whereas Resource Access Management (RAM) users and RAM roles have no permissions. The Alibaba Cloud account or an administrator must grant permissions through a RAM policy or a bucket policy.

API	Action	Description
PutVectorIndex	`oss:PutVectorIndex`	Creates a vector index.

Command format

ossutil vectors-api invoke-operation --op-name putVectorIndexFusion --method POST --parameters putVectorIndexFusion --bucket value --body value

Parameters

Parameter	Type	Description
--op-name	string	The operation name. Set the value to `put-vector-index-fusion`.
--method	string	The HTTP request method. Set the value to `POST`.
--parameters	stringArray	The query parameter. Set the value to `put-vector-index-fusion`.
--bucket	string	The name of the vector bucket.
--body	string	The request body in JSON format that describes the configuration of the Fusion-mode vector index. For more information about the fields in the body, see the PutVectorIndexFusion API documentation.

Note

This command calls the PutVectorIndexFusion operation by using the invoke-operation generic command of ossutil.
For more information about the supported global command-line options, see Supported global command-line options.

Usage examples

Create a Fusion-mode vector index named my_index in the vector bucket named examplebucket.

ossutil vectors-api invoke-operation --op-name putVectorIndexFusion --method POST --parameters putVectorIndexFusion --bucket examplebucket --body '{"indexName":"my_index","mode":"fusion","schemaConfiguration":{"fields":[{"name":"text_vector","type":"vector","dataType":"float32","dimension":4,"distanceMetric":"cosine"},{"name":"image_vector","type":"vector","dataType":"float32","dimension":4,"distanceMetric":"cosine"},{"name":"title","type":"string","exactMatch":false,"text":{"enabled":true,"analyzer":"standard","analyzerParameters":{"caseSensitive":false,"delimitWord":false}}},{"name":"category","type":"string","isArray":true},{"name":"year","type":"long"}]}}'