Update document image-search-openai-clip.mdx (supabase#17621)

* Update document image-search-openai-clip.mdx Update document for breaking changes. * Update apps/docs/pages/guides/ai/examples/image-search-openai-clip.mdx --------- Co-authored-by: Charis <26616127+charislam@users.noreply.github.com>

Author: shonenada

apps/docs/pages/guides/ai/examples/image-search-openai-clip.mdx

@@ -97,7 +97,7 @@ def seed():
 
  # add records to the *images* collection
  images.upsert(
- vectors=[
+ records=[
  (
  "one.jpg", # the vector's identifier
  img_emb1, # the vector. list or np.array
@@ -142,7 +142,7 @@ With Supabase Vector we can easily query our embeddings. We can use either an im
 def search():
  # create vector store client
  vx = vecs.create_client(DB_CONNECTION)
- images = vx.get_collection(name="image_vectors")
+ images = vx.get_or_create_collection(name="image_vectors", dimension=512)
 
  # Load CLIP model
  model = SentenceTransformer('clip-ViT-B-32')
@@ -152,7 +152,7 @@ def search():
 
  # query the collection filtering metadata for "type" = "jpg"
  results = images.query(
- query_vector=text_emb, # required
+ data=text_emb,  # required
  limit=1, # number of records to return
  filters={"type": {"$eq": "jpg"}}, # metadata filters
  )