/** *
Amazon S3 vector buckets are a bucket type to store and search vectors with sub-second search times. They are designed to provide dedicated API operations for you to interact with vectors to do similarity search. Within a vector bucket, you use a vector index to organize and logically group your vector data. When you make a write or read request, you direct it to a single vector index. You store your vector data as vectors. A vector contains a key (a name that you assign), a multi-dimensional vector, and, optionally, metadata that describes a vector. The key uniquely identifies the vector in a vector index.
* * @packageDocumentation */ export * from "./S3VectorsClient"; export * from "./S3Vectors"; export type { ClientInputEndpointParameters } from "./endpoint/EndpointParameters"; export type { RuntimeExtension } from "./runtimeExtensions"; export type { S3VectorsExtensionConfiguration } from "./extensionConfiguration"; export * from "./commands"; export * from "./schemas/schemas_0"; export * from "./pagination"; export * from "./models/enums"; export * from "./models/errors"; export * from "./models/models_0"; export { S3VectorsServiceException } from "./models/S3VectorsServiceException";