docs: (minor) updates to voyage ai documentation (#19819)

**Description:** Updates to Voyage AI documentation
**Issue:** Not Applicable
**Dependencies:** None

docs/docs/integrations/document_transformers/voyageai-reranker.ipynb

@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6fa3d916",
+   "id": "36b283af",
    "metadata": {
     "jp-MarkdownHeadingCollapsed": true,
     "tags": []
@@ -310,13 +310,13 @@
     "from langchain_community.document_loaders import TextLoader\n",
     "from langchain_community.vectorstores import FAISS\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
-    "from langchain_voyageai import VoyageEmbeddings\n",
+    "from langchain_voyageai import VoyageAIEmbeddings\n",
     "\n",
     "documents = TextLoader(\"../../modules/state_of_the_union.txt\").load()\n",
     "text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=100)\n",
     "texts = text_splitter.split_documents(documents)\n",
     "retriever = FAISS.from_documents(\n",
-    "    texts, VoyageEmbeddings(model=\"voyage-2\")\n",
+    "    texts, VoyageAIEmbeddings(model=\"voyage-2\")\n",
     ").as_retriever(search_kwargs={\"k\": 20})\n",
     "\n",
     "query = \"What did the president say about Ketanji Brown Jackson\"\n",
@@ -326,11 +326,11 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b7648612",
+   "id": "28f5da35",
    "metadata": {},
    "source": [
     "## Doing reranking with VoyageAIRerank\n",
-    "Now let's wrap our base retriever with a `ContextualCompressionRetriever`. We'll add an `VoyageAIRerank`, uses the Voyage AI rerank endpoint to rerank the returned results."
+    "Now let's wrap our base retriever with a `ContextualCompressionRetriever`. We'll use the Voyage AI reranker to rerank the returned results."
    ]
   },
   {
@@ -390,7 +390,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b83dfedb",
+   "id": "aa8f3d24",
    "metadata": {},
    "source": [
     "You can of course use this retriever within a QA pipeline"
@@ -457,7 +457,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

docs/docs/integrations/providers/voyageai.mdx

@@ -3,7 +3,6 @@
 All functionality related to VoyageAI
 
 >[VoyageAI](https://www.voyageai.com/) Voyage AI builds embedding models, customized for your domain and company, for better retrieval quality.
-> customized for your domain and company, for better retrieval quality.
 
 ## Installation and Setup
 
@@ -12,7 +11,7 @@ Install the integration package with
 pip install langchain-voyageai
 ```
 
-Get an VoyageAI api key and set it as an environment variable (`VOYAGE_API_KEY`)
+Get a VoyageAI API key and set it as an environment variable (`VOYAGE_API_KEY`)
 
 
 ## Text Embedding Model

docs/docs/integrations/text_embedding/voyageai.ipynb

@@ -9,7 +9,7 @@
     "\n",
     ">[Voyage AI](https://www.voyageai.com/) provides cutting-edge embedding/vectorizations models.\n",
     "\n",
-    "Let's load the Voyage Embedding class. (Install the LangChain partner package with `pip install langchain-voyageai`)"
+    "Let's load the Voyage AI Embedding class. (Install the LangChain partner package with `pip install langchain-voyageai`)"
    ]
   },
   {
@@ -219,7 +219,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.9.6"
   },
   "vscode": {
    "interpreter": {