deepset-ai / deepset-ai/haystack-core-integrations
Amazon S3 Vectors (DocStore)
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@anakin87 is already working on this.
Since May 12, 2026.
contributions wanted!
new integration
P3
- Dominant language
- Python
- Stars
- 203
- Forks
- 332
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 80
Description
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
mainbranch - 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
@anakin87
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.