Summary and motivation

S3 Vectors is the latest KB solution from AWS. Although in preview, this would be a great addition to the existing DocStore integrations.

Detailed design

The design of the docstore should include the necessary actions from the S3Vector client here https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3vectors.html

At minimum creating the DocStore, inserting and querying documents (Embedding Retriever only).

Checklist

If the request is accepted, ensure the following checklist is complete before closing this issue.

Tasks

• The code is documented with docstrings and was merged in the main branch
• Docs are published at https://docs.haystack.deepset.ai/
• There is a Github workflow running the tests for the integration nightly and at every PR
• A new label named like integration:<your integration name> has been added to the list of labels for this repository
• The labeler.yml file has been updated
• The package has been released on PyPI
• An integration tile has been added to https://github.com/deepset-ai/haystack-integrations
• The integration has been listed in the Inventory section of this repo README
• There is an example available to demonstrate the feature
• The feature was announced through social media

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