Greptile Summary

This PR adds six new SEO-oriented blog posts about MongoDB and NoSQL databases for AI workloads, each accompanied by a cover image. The posts are meaningfully differentiated in angle (decision framework, prototype-to-production journey, schema flexibility, data-type handling, scaling, and general NoSQL vs SQL comparison) and all consistently describe Appwrite's MongoDB backend support as already shipped in the self-hosted version.

Key findings:

• The word growingly (non-standard; should be increasingly) appears in two articles: from-prototype-to-production line 15 and how-nosql-databases-handle-unstructured-ai-data line 13.
• Two of the six posts (choosing-the-right-database and from-prototype-to-production) carry a date of 2026-04-03, one day ahead of the other posts. If the blog build pipeline omits future-dated posts, these two will not be visible until the following day's build — worth confirming this is intentional.
• The previously-flagged Atlas Vector Search accuracy concern has been handled correctly in the current version of why-nosql-databases-are-a-better-fit (line 55 explicitly calls out that Atlas Vector Search is Atlas-only and recommends dedicated vector DBs for self-hosted deployments).

Confidence Score: 5/5

Safe to merge; all remaining findings are P2 style/quality suggestions that do not block publication.

All open comments are P2: a repeated non-standard word choice ("growingly") and two posts with a future publication date that may or may not require attention depending on the CMS's date-filtering behaviour. No logic errors, broken links, or factual inaccuracies were found in the current revision.

from-prototype-to-production-why-ai-teams-prefer-nosql-databases/+page.markdoc and how-nosql-databases-handle-unstructured-ai-data-text-images-embeddings/+page.markdoc (word choice); choosing-the-right-database-for-ai-applications-when-to-use-mongodb/+page.markdoc (future date).

Important Files Changed

_{Reviews (7): Last reviewed commit: "fix blogs" | Re-trigger Greptile}