community[patch]: Add vector index support to SingleStoreDB VectorStore (#17308)

This pull request introduces support for various Approximate Nearest
Neighbor (ANN) vector index algorithms in the VectorStore class,
starting from version 8.5 of SingleStore DB. Leveraging this enhancement
enables users to harness the power of vector indexing, significantly
boosting search speed, particularly when handling large sets of vectors.

---------

Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>

docs/docs/integrations/vectorstores/singlestoredb.ipynb

@@ -106,6 +106,14 @@
     "print(docs[0].page_content)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "035cba66",
+   "metadata": {},
+   "source": [
+    "Enhance your search efficiency with SingleStore DB version 8.5 or above by leveraging [ANN vector indexes](https://docs.singlestore.com/cloud/reference/sql-reference/vector-functions/vector-indexing/). By setting `use_vector_index=True` during vector store object creation, you can activate this feature. Additionally, if your vectors differ in dimensionality from the default OpenAI embedding size of 1536, ensure to specify the `vector_size` parameter accordingly. "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,