update docs

docs/docs/integrations/text_embedding/yandex.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# YandexGPT Embeddings\n",
+    "# YandexGPT\n",
     "\n",
     "This notebook goes over how to use Langchain with [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) embeddings models.\n",
     "\n",
@@ -32,7 +32,9 @@
     "- [API key](https://cloud.yandex.com/en/docs/iam/operations/api-key/create)\n",
     "    You can specify the key in a constructor parameter `api_key` or in an environment variable `YC_API_KEY`.\n",
     "\n",
-    "Specify the model uri in the `model_uri` parameter, more details in [the  documentation](https://cloud.yandex.com/en/docs/yandexgpt/concepts/models#yandexgpt-embeddings)"
+    "To specify the model you can use `model_uri` parameter, see [the documentation](https://cloud.yandex.com/en/docs/yandexgpt/concepts/models#yandexgpt-embeddings) for more details.\n",
+    "\n",
+    "By default, the latest version of `text-search-query` is used from the folder specified in the parameter `folder_id` or `YC_FOLDER_ID` environment variable."
    ]
   },
   {
@@ -41,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.embeddings import YandexGPTEmbeddings"
+    "from langchain_community.embeddings import YandexGPTEmbeddings"
    ]
   },
   {
@@ -50,7 +52,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "embeddings = YandexGPTEmbeddings(model_uri=\"emb://<folder-id>/text-search-query/latest\")"
+    "embeddings = YandexGPTEmbeddings()"
    ]
   },
   {
@@ -127,13 +129,6 @@
    "source": [
     "doc_result[0][:5]"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -152,7 +147,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,