Clarifai integration doc improvements (#11251)

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- **Description:** Doc corrections and resolve notebook rendering issue
on GH
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  - **Tag maintainer:** @baskaryan
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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

docs/extras/integrations/providers/clarifai.mdx

@@ -49,4 +49,4 @@ You can also add data directly from LangChain as well, and the auto-indexing wil
 from langchain.vectorstores import Clarifai
 clarifai_vector_db = Clarifai.from_texts(user_id=USER_ID, app_id=APP_ID, texts=texts, pat=CLARIFAI_PAT, number_of_docs=NUMBER_OF_DOCS, metadatas = metadatas)
 ```
-For more details, the docs on the Clarifai vector store provide a [detailed walkthrough](/docs/integrations/text_embedding/clarifai.html).
+For more details, the docs on the Clarifai vector store provide a [detailed walkthrough](/docs/integrations/vectorstores/clarifai.ipynb).

docs/extras/integrations/vectorstores/clarifai.ipynb

@@ -10,7 +10,7 @@
     "\n",
     ">[Clarifai](https://www.clarifai.com/) is an AI Platform that provides the full AI lifecycle ranging from data exploration, data labeling, model training, evaluation, and inference. A Clarifai application can be used as a vector database after uploading inputs. \n",
     "\n",
-    "This notebook shows how to use functionality related to the `Clarifai` vector database.\n",
+    "This notebook shows how to use functionality related to the `Clarifai` vector database. Examples are shown to demonstrate text semantic search capabilities. Clarifai also supports semantic search with images, video frames, and localized search (see [Rank](https://docs.clarifai.com/api-guide/search/rank)) and attribute search (see [Filter](https://docs.clarifai.com/api-guide/search/filter)).\n",
     "\n",
     "To use Clarifai, you must have an account and a Personal Access Token (PAT) key. \n",
     "[Check here](https://clarifai.com/settings/security) to get or create a PAT."
@@ -55,7 +55,7 @@
    "metadata": {},
    "outputs": [
     {
-     "name": "stdin",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
       " ········\n"
@@ -166,6 +166,8 @@
        " Document(page_content='I went to the movies yesterday', metadata={'text': 'I went to the movies yesterday', 'id': 3.0, 'source': 'book 1', 'category': ['books', 'modern']})]"
       ]
      },
+     "execution_count": null,
+     "metadata": {},
      "output_type": "execute_result"
     }
    ],