added openAIEmbedding documents link

Author: giriraj-singh-couchbase

autovec_unstructured/autovec_unstructured.ipynb

@@ -230,10 +230,11 @@
    "source": [
     "# Selection of Buckets / Scope / Collection / Index / Embedder\n",
     "   - Sets the bucket, scope, and collection where the documents (with vector fields) live.\n",
-    "   - `index_name` specifies the **Capella Search index name**. This is the Search index created automatically during the workflow setup (step 3.6) or manually as described in the Search Index Creation section. You can find this index name in the **Search** tab of your Capella cluster.\n",
+    "   - `index_name` specifies the **Capella Search index name**. This is the Search index created automatically during the workflow setup (step 3.6) or manually as described in the same step. You can find this index name in the **Search** tab of your Capella cluster.\n",
     "   - `embedder` instantiates the NVIDIA embedding model that will transform the user's natural language query into a vector at search time.\n",
     "       - `open_api_key` is the api key token created in `step 2.3`.\n",
     "       - `open_api_base` is the Capella model services endpoint found in the models section.\n",
+    "       - for more details visit [openAIEmbeddings](https://docs.langchain.com/oss/python/integrations/text_embedding/openai).\n",
     "\n",
     "`Note that the Capella AI Endpoint also requires an additional /v1 from the endpoint if not shown on the UI`"
    ]