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S3Vectors module#

Index > S3Vectors

Auto-generated documentation for S3Vectors type annotations stubs module types-boto3-s3vectors.

How to install#

You can generate type annotations for boto3 package locally with mypy-boto3-builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.39.6' mypy-boto3-builder
  2. Select boto3 AWS SDK.
  3. Add S3Vectors service.
  4. Use provided commands to install generated packages.

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and S3Vectors.

From PyPI with pip#

Install types-boto3 for S3Vectors service.

# install with boto3 type annotations
python -m pip install 'types-boto3[s3vectors]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-boto3-lite[s3vectors]'

# standalone installation
python -m pip install types-boto3-s3vectors

How to uninstall#

python -m pip uninstall -y types-boto3-s3vectors

Usage#

Code samples can be found in Examples.

S3VectorsClient#

Type annotations and code completion for boto3.client("s3vectors") as S3VectorsClient boto3 documentation

# S3VectorsClient usage example

from boto3.session import Session

from types_boto3_s3vectors.client import S3VectorsClient

def get_client() -> S3VectorsClient:
    return Session().client("s3vectors")

Paginators#

Type annotations and code completion for paginators from boto3.client("s3vectors").get_paginator("...").

# ListIndexesPaginator usage example

from boto3.session import Session

from types_boto3_s3vectors.paginator import ListIndexesPaginator

def get_list_indexes_paginator() -> ListIndexesPaginator:
    return Session().client("s3vectors").get_paginator("list_indexes"))

Literals#

Type annotations for literals used in methods and schema.

# DataTypeType usage example

from types_boto3_s3vectors.literals import DataTypeType

def get_value() -> DataTypeType:
    return "float32"

Type definitions#

Type annotations for type definitions used in methods and schema.