S3Vectors / Client / list_vectors

list_vectors

S3Vectors.Client.list_vectors(**kwargs)

Note

Amazon S3 Vectors is in preview release for Amazon S3 and is subject to change.

List vectors in the specified vector index. To specify the vector index, you can either use both the vector bucket name and the vector index name, or use the vector index Amazon Resource Name (ARN).

ListVectors operations proceed sequentially; however, for faster performance on a large number of vectors in a vector index, applications can request a parallel ListVectors operation by providing the segmentCount and segmentIndex parameters.

Permissions

You must have the s3vectors:ListVectors permission to use this operation. Additional permissions are required based on the request parameters you specify:

  • With only s3vectors:ListVectors permission, you can list vector keys when returnData and returnMetadata are both set to false or not specified..

  • If you set returnData or returnMetadata to true, you must have both s3vectors:ListVectors and s3vectors:GetVectors permissions. The request fails with a 403 Forbidden error if you request vector data or metadata without the s3vectors:GetVectors permission.

See also: AWS API Documentation

Request Syntax

response = client.list_vectors(
    vectorBucketName='string',
    indexName='string',
    indexArn='string',
    maxResults=123,
    nextToken='string',
    segmentCount=123,
    segmentIndex=123,
    returnData=True|False,
    returnMetadata=True|False
)
Parameters:

  • vectorBucketName (string) – The name of the vector bucket.

  • indexName (string) – The name of the vector index.

  • indexArn (string) – The Amazon resource Name (ARN) of the vector index.

  • maxResults (integer) –

    The maximum number of vectors to return on a page.

    If you don’t specify maxResults, the ListVectors operation uses a default value of 500.

    If the processed dataset size exceeds 1 MB before reaching the maxResults value, the operation stops and returns the vectors that are retrieved up to that point, along with a nextToken that you can use in a subsequent request to retrieve the next set of results.

  • nextToken (string) – Pagination token from a previous request. The value of this field is empty for an initial request.

  • segmentCount (integer) –

    For a parallel ListVectors request, segmentCount represents the total number of vector segments into which the ListVectors operation will be divided. The value of segmentCount corresponds to the number of application workers that will perform the parallel ListVectors operation. For example, if you want to use four application threads to list vectors in a vector index, specify a segmentCount value of 4.

    If you specify a segmentCount value of 1, the ListVectors operation will be sequential rather than parallel.

    If you specify segmentCount, you must also specify segmentIndex.

  • segmentIndex (integer) –

    For a parallel ListVectors request, segmentIndex is the index of the segment from which to list vectors in the current request. It identifies an individual segment to be listed by an application worker.

    Segment IDs are zero-based, so the first segment is always 0. For example, if you want to use four application threads to list vectors in a vector index, then the first thread specifies a segmentIndex value of 0, the second thread specifies 1, and so on.

    The value of segmentIndex must be less than the value provided for segmentCount.

    If you provide segmentIndex, you must also provide segmentCount.

  • returnData (boolean) – If true, the vector data of each vector will be included in the response. The default value is false.

  • returnMetadata (boolean) – If true, the metadata associated with each vector will be included in the response. The default value is false.

Return type:

dict

Returns:

Response Syntax

{
    'nextToken': 'string',
    'vectors': [
        {
            'key': 'string',
            'data': {
                'float32': [
                    ...,
                ]
            },
            'metadata': {...}|[...]|123|123.4|'string'|True|None
        },
    ]
}

Response Structure

  • (dict) –

    • nextToken (string) –

      Pagination token to be used in the subsequent request. The field is empty if no further pagination is required.

    • vectors (list) –

      Vectors in the current segment.

      • (dict) –

        Note

        Amazon S3 Vectors is in preview release for Amazon S3 and is subject to change.

        The attributes of a vector returned by the ListVectors operation.

        • key (string) –

          The name of the vector.

        • data (dict) –

          The vector data of the vector.

          Note

          This is a Tagged Union structure. Only one of the following top level keys will be set: float32. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:

          'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}

          • float32 (list) –

            The vector data as 32-bit floating point numbers. The number of elements in this array must exactly match the dimension of the vector index where the operation is being performed.

            • (float) –

        • metadata (document) –

          Metadata about the vector.

Exceptions

  • S3Vectors.Client.exceptions.ValidationException

  • S3Vectors.Client.exceptions.ServiceUnavailableException

  • S3Vectors.Client.exceptions.TooManyRequestsException

  • S3Vectors.Client.exceptions.InternalServerException

  • S3Vectors.Client.exceptions.AccessDeniedException

  • S3Vectors.Client.exceptions.NotFoundException

  • S3Vectors.Client.exceptions.ServiceQuotaExceededException