Updated title

examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb

@@ -5,7 +5,7 @@
    "id": "cb1537e6",
    "metadata": {},
    "source": [
-    "# Vector Database Introduction\n",
+    "# Using Vector Databases for Embeddings Search\n",
     "\n",
     "This notebook takes you through a simple flow to download some data, embed it, and then index and search it using a selection of vector databases. This is a common requirement for customers who want to store and search our embeddings with their own data in a secure environment to support production use cases such as chatbots, topic modelling and more.\n",
     "\n",