diff --git a/docs/getting-started/essentials.mdx b/docs/getting-started/essentials.mdx
index 20ed785c..ee149201 100644
--- a/docs/getting-started/essentials.mdx
+++ b/docs/getting-started/essentials.mdx
@@ -143,7 +143,7 @@ The defaults are reasonable for getting started. When you outgrow them, there ar
 
 - **Embedding engine.** The default (SentenceTransformers `all-MiniLM-L6-v2`) runs locally on CPU and consumes roughly 500 MB of RAM per worker. For any multi-user deployment, point at an external embeddings API (OpenAI, or Ollama with `nomic-embed-text`) via `RAG_EMBEDDING_ENGINE`.
 - **Content extraction engine.** The default uses `pypdf`, which leaks memory during heavy ingestion. For anything beyond casual use, switch to **Tika** or **Docling** via `CONTENT_EXTRACTION_ENGINE`.
-- **Vector database.** The default ChromaDB (local SQLite-backed) does not tolerate multi-worker deployments. At scale, switch to **PGVector**. It is the only vector database officially supported and maintained by the Open WebUI team. Milvus, Qdrant, and MariaDB Vector are also available but are community-maintained: they may break on upgrades and fixes depend on community contributions. See the [env-configuration reference](/reference/env-configuration#vector_db) for setup and the community disclaimers on each provider.
+- **Vector database.** The default ChromaDB (local SQLite-backed) does not tolerate multi-worker deployments. At scale, switch to **PGVector**. It is the only vector database officially supported and maintained by the Open WebUI team. Milvus, Qdrant, and MariaDB Vector are also available as non-core integrations: they may break on upgrades, and fixes come from outside the core Open WebUI maintenance path. See the [env-configuration reference](/reference/env-configuration#vector_db) for setup and the integration disclaimers on each provider.
 
 :::note When to worry about this
 None of these matter for "a single user with a handful of PDFs." All of them start mattering the moment you have 100 documents or 10 concurrent users.