docs(embeddings): use current query_points API in OpenAI example

[midegdugarova]

What

The Searching for documents with Qdrant example on embeddings/openai.md uses client.search(..., query_vector=...), which is deprecated in recent qdrant-client releases in favor of client.query_points(..., query=...). This PR updates that single example to the current API.

-client.search(
+client.query_points(
     collection_name=collection_name,
-    query_vector=openai_client.embeddings.create(
+    query=openai_client.embeddings.create(

Why

• query_points is the supported replacement for search; no behavior change.
• Consistency: the sibling embedding page embeddings/cohere.md already uses client.query_points(...), so this brings the OpenAI page in line with the rest of the section.

Verified against the current file on master.

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