docs: google vertex partner docs

docs/docs/integrations/chat/google_vertex_ai_palm.ipynb

@@ -41,7 +41,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install -U google-cloud-aiplatform"
+    "!pip install -U langchain-google-vertexai"
    ]
   },
   {
@@ -50,7 +50,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.chat_models import ChatVertexAI\n",
+    "from langchain_google_vertexai import ChatVertexAI\n",
     "from langchain_core.prompts import ChatPromptTemplate"
    ]
   },

docs/docs/integrations/llms/google_vertex_ai_palm.ipynb

@@ -54,7 +54,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#!pip install langchain google-cloud-aiplatform"
+    "%pip install --upgrade --quiet langchain langchain-google-vertexai"
    ]
   },
   {
@@ -76,7 +76,7 @@
     }
    ],
    "source": [
-    "from langchain_community.llms import VertexAI\n",
+    "from langchain_google_vertexai import VertexAI\n",
     "\n",
     "llm = VertexAI()\n",
     "print(llm(\"What are some of the pros and cons of Python as a programming language?\"))"
@@ -414,7 +414,7 @@
     }
    ],
    "source": [
-    "from langchain_community.chat_models import ChatVertexAI\n",
+    "from langchain_google_vertexai import ChatVertexAI\n",
     "from langchain_core.messages import HumanMessage\n",
     "\n",
     "llm = ChatVertexAI(model_name=\"gemini-ultra-vision\")\n",
@@ -592,7 +592,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.llms import VertexAIModelGarden"
+    "from langchain_google_vertexai import VertexAIModelGarden"
    ]
   },
   {

docs/docs/integrations/platforms/google.mdx

@@ -57,16 +57,16 @@ The value of image_url can be any of the following:
 
 Access PaLM chat models like `chat-bison` and `codechat-bison` via Google Cloud.
 
-We need to install `google-cloud-aiplatform` python package.
+We need to install `langchain-google-vertexai` python package.
 
 ```bash
-pip install google-cloud-aiplatform
+pip install langchain-google-vertexai
 ```
 
 See a [usage example](/docs/integrations/chat/google_vertex_ai_palm).
 
 ```python
-from langchain_community.chat_models import ChatVertexAI
+from langchain_google_vertexai import ChatVertexAI
 ```
 
 ## Document Loaders
@@ -93,32 +93,32 @@ from langchain_community.document_loaders import BigQueryLoader
 
 Access to `Gemini` and `PaLM` LLMs (like `text-bison` and `code-bison`) via `Google Vertex AI`.
 
-We need to install `google-cloud-aiplatform` python package.
+We need to install `langchain-google-vertexai` python package.
 
 ```bash
-pip install google-cloud-aiplatform
+pip install langchain-google-vertexai
 ```
 
 See a [usage example](/docs/integrations/llms/google_vertex_ai_palm).
 
 ```python
-from langchain_community.llms import VertexAI
+from langchain_google_vertexai import VertexAI
 ```
 
 ### Model Garden
 
 Access PaLM and hundreds of OSS models via `Vertex AI Model Garden`.
 
-We need to install `google-cloud-aiplatform` python package.
+We need to install `langchain-google-vertexai` python package.
 
 ```bash
-pip install google-cloud-aiplatform
+pip install langchain-google-vertexai
 ```
 
 See a [usage example](/docs/integrations/llms/google_vertex_ai_palm#vertex-model-garden).
 
 ```python
-from langchain_community.llms import VertexAIModelGarden
+from langchain_google_vertexai import VertexAIModelGarden
 ```
 
 
@@ -193,7 +193,7 @@ from langchain_community.document_loaders import GoogleSpeechToTextLoader
 We need to install several python packages.
 
 ```bash
-pip install tensorflow google-cloud-aiplatform tensorflow-hub tensorflow-text
+pip install tensorflow langchain-google-vertexai tensorflow-hub tensorflow-text
 ```
 
 See a [usage example](/docs/integrations/vectorstores/google_vertex_ai_vector_search).

docs/docs/integrations/text_embedding/google_vertex_ai_palm.ipynb

@@ -12,7 +12,7 @@
     "\n",
     "By default, Google Cloud [does not use](https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_development) Customer Data to train its foundation models as part of Google Cloud`s AI/ML Privacy Commitment. More details about how Google processes data can also be found in [Google's Customer Data Processing Addendum (CDPA)](https://cloud.google.com/terms/data-processing-addendum).\n",
     "\n",
-    "To use Vertex AI PaLM you must have the `google-cloud-aiplatform` Python package installed and either:\n",
+    "To use Vertex AI PaLM you must have the `langchain-google-vertexai` Python package installed and either:\n",
     "- Have credentials configured for your environment (gcloud, workload identity, etc...)\n",
     "- Store the path to a service account JSON file as the GOOGLE_APPLICATION_CREDENTIALS environment variable\n",
     "\n",
@@ -32,7 +32,7 @@
    },
    "outputs": [],
    "source": [
-    "#!pip install google-cloud-aiplatform"
+    "%pip install --upgrade --quiet langchain langchain-google-vertexai"
    ]
   },
   {
@@ -41,7 +41,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.embeddings import VertexAIEmbeddings"
+    "from langchain_google_vertexai import VertexAIEmbeddings"
    ]
   },
   {

docs/docs/integrations/vectorstores/bigquery_vector_search.ipynb

@@ -45,7 +45,7 @@
    },
    "outputs": [],
    "source": [
-    "! pip install langchain google-cloud-aiplatform google-cloud-bigquery --upgrade --user"
+    "%pip install --upgrade --quiet langchain langchain-google-vertexai google-cloud-bigquery --upgrade --user"
    ]
   },
   {
@@ -198,7 +198,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain_community.embeddings import VertexAIEmbeddings\n",
+    "from langchain_google_vertexai import VertexAIEmbeddings\n",
     "\n",
     "embedding = VertexAIEmbeddings(\n",
     "    model_name=\"textembedding-gecko@latest\", project=PROJECT_ID\n",