Added a post to create a RAG using OpenSearch ML on Scalingo

[SC-Samir]

Description

This PR will add a tutorial in order to create a RAG using OpenSearch ML on Scalingo

Issues Resolved

Resolves #3941

Check List

• Commits are signed per the DCO using --signoff

By submitting this pull request, I confirm that my contribution is made under the terms of the BSD-3-Clause License.

[github-actions]

Thank you for submitting a blog post!

The blog post review process is: Submit a PR -> (Optional) Peer review -> Doc review -> Editorial review -> Marketing review -> Published.

[github-actions]

Hi @SC-Samir,

It looks like you're adding a new blog post but don't have an issue mentioned. Please link this PR to an open issue using one of these keywords in the PR description:

• Closes #issue-number
• Fixes #issue-number
• Resolves #issue-number

If an issue hasn't been created yet, please create one and then link it to this PR.

[SC-Samir]

Hello @pajuric any news on the tech review?

[pajuric]

@SC-Samir - I am so sorry for the delay. I did get feedback this week, and here's what was shared with me:

• Include more detail about how to set up a connector/model, and really showcase your solution.
• Demonstrating the use of OpenSearch connectors, especially if they want their solution to work well within AWS environment.
• Also, show how it runs models on data nodes, which are not a config recommended for production use.

Does this make sense? If you'd like, I can schedule a quick call or connect you over Slack with the team that reviewed the content. Please let me know, as I am happy to facilitate a deeper conversation.

Thanks,
PJ