For AI agents: the complete documentation index is available at https://docs.ovhcloud.com/en/llms.txt, the full documentation bundle is available at https://docs.ovhcloud.com/en/llms-full.txt, and this page is available as Markdown at https://docs.ovhcloud.com/en/guides/public-cloud/data-platform/connectors-sources-dataplatform-buckets.md.

Data Platform Buckets

View as Markdown

The connector allows you to use files stored in your Project's buckets as data sources

Objective

The connector allows you to use files stored in your Project's buckets as data sources.

Info

Buckets are a traditional file-based storage system and allow you to organize unstructured data

Buckets

Add a Buckets source

Configuration screen overview

Once you have found Buckets in the the Platform store, click on Select and you will be able to see the configuration screen as shown below -

bucket

Configuring your source

When creating the source, you will be required to input the following information :

  • Bucket: The name of the Bucket from which you want to find the source files
  • Path: The optional path to the subfolder containing the source files

Once you add the above details click on Connect and you will see the files in your bucket. An example is shown below:

bucket

Then click on the Create button on the top right-hand corner to create your source.

Warning

Don't forget to name your source before creating it. The technical name cannot be changed after creating the source and will be used when trying to open the source using the SDK.

The encoding of the source files is automatically detected by the Platform. However, if the automatic detection fails, you have the ability to specify the file encoding by clicking on the pen icon next to each source object:

File Upload

Select the encoding of your source object in the dropdown selection.

File Upload

Supported files and sizes

The Datastore allows an S31 compatible object store, which allows you to store any unstructured data.

Warning

There is a 10 GB size limit on files handled by the Data Store.

Go further

If you need training or technical assistance to implement our solutions, contact your sales representative or click on this link to get a quote and ask our Professional Services experts for a custom analysis of your project.

Ask questions, give your feedback and interact directly with the team building the Data Platform on the dedicated Discord channel.

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1: S3 is a trademark of Amazon Technologies, Inc. OVHcloud's service is not sponsored by, endorsed by, or otherwise affiliated with Amazon Technologies, Inc.

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