docs: updated google integration related imports in the documentation (…

…langchain-ai#19131) updated imports in the documentation for google vertex
FalkorDB · Mar 30, 2024 · 8a1e51c · 8a1e51c
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diff --git a/docs/docs/integrations/platforms/google.mdx b/docs/docs/integrations/platforms/google.mdx
@@ -503,21 +503,21 @@ from langchain_google_cloud_sql_pg import PostgreSQLEngine, PostgresVectorStore
 
 ### Vertex AI Vector Search
 
-> [Google Cloud Vertex AI Vector Search](https://cloud.google.com/vertex-ai/docs/matching-engine/overview) from Google Cloud,
+> [Google Cloud Vertex AI Vector Search](https://cloud.google.com/vertex-ai/docs/vector-search/overview) from Google Cloud,
 > formerly known as `Vertex AI Matching Engine`, provides the industry's leading high-scale
 > low latency vector database. These vector databases are commonly
 > referred to as vector similarity-matching or an approximate nearest neighbor (ANN) service.
 
-We need to install several python packages.
+Install the python package:
 
 ```bash
-pip install tensorflow langchain-google-vertexai tensorflow-hub tensorflow-text
+pip install langchain-google-vertexai
 ```
 
 See a [usage example](/docs/integrations/vectorstores/google_vertex_ai_vector_search).
 
 ```python
-from langchain_community.vectorstores import MatchingEngine
+from langchain_google_vertexai import VectorSearchVectorStore
 ```
 
 ### ScaNN

diff --git a/docs/docs/integrations/vectorstores/google_vertex_ai_vector_search.ipynb b/docs/docs/integrations/vectorstores/google_vertex_ai_vector_search.ipynb
@@ -9,7 +9,7 @@
     "\n",
     "This notebook shows how to use functionality related to the `Google Cloud Vertex AI Vector Search` vector database.\n",
     "\n",
-    "> [Google Vertex AI Vector Search](https://cloud.google.com/vertex-ai/docs/matching-engine/overview), formerly known as Vertex AI Matching Engine, provides the industry's leading high-scale low latency vector database. These vector databases are commonly referred to as vector similarity-matching or an approximate nearest neighbor (ANN) service.\n",
+    "> [Google Vertex AI Vector Search](https://cloud.google.com/vertex-ai/docs/vector-search/overview), formerly known as Vertex AI Matching Engine, provides the industry's leading high-scale low latency vector database. These vector databases are commonly referred to as vector similarity-matching or an approximate nearest neighbor (ANN) service.\n",
     "\n",
     "**Note**: This module expects an endpoint and deployed index already created as the creation time takes close to one hour. To see how to create an index refer to the section [Create Index and deploy it to an Endpoint](#create-index-and-deploy-it-to-an-endpoint)"
    ]
@@ -29,7 +29,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import MatchingEngine"
+    "from langchain_google_vertexai import VectorSearchVectorStore"
    ]
   },
   {
@@ -50,7 +50,7 @@
     "]\n",
     "\n",
     "\n",
-    "vector_store = MatchingEngine.from_components(\n",
+    "vector_store = VectorSearchVectorStore.from_components(\n",
     "    texts=texts,\n",
     "    project_id=\"<my_project_id>\",\n",
     "    region=\"<my_region>\",\n",