update voyage models

Author: davidhou17

ai-integrations/langchain-memory-semantic-cache.ipynb

@@ -66,8 +66,8 @@
     "from langchain_mongodb import MongoDBAtlasVectorSearch\n",
     "from langchain_voyageai import VoyageAIEmbeddings\n",
     "\n",
-    "# Use the voyage-3 embedding model\n",
-    "embedding_model = VoyageAIEmbeddings(model=\"voyage-3\")\n",
+    "# Use the voyage-3-large embedding model\n",
+    "embedding_model = VoyageAIEmbeddings(model=\"voyage-3-large\")\n",
     "\n",
     "# Create the vector store\n",
     "vector_store = MongoDBAtlasVectorSearch.from_connection_string(\n",

create-embeddings/voyage-existing-data.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "This notebook is a companion to the [Create Embeddings](https://www.mongodb.com/docs/atlas/atlas-vector-search/create-embeddings/) page. Refer to the page for set-up instructions and detailed explanations.\n",
     "\n",
-    "This notebook takes you through how to generate embeddings from **existing data in Atlas** by using the ``voyage-3`` model from Voyage AI.\n",
+    "This notebook takes you through how to generate embeddings from **existing data in Atlas** by using the ``voyage-3-large`` model from Voyage AI.\n",
     "\n",
     "<a target=\"_blank\" href=\"https://colab.research.google.com/github/mongodb/docs-notebooks/blob/main/create-embeddings/voyage-existing-data.ipynb\">\n",
     "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
@@ -55,7 +55,7 @@
     "\n",
     "# Specify your Voyage API key and embedding model\n",
     "os.environ[\"VOYAGE_API_KEY\"] = \"<api-key>\"\n",
-    "model = \"voyage-3\"\n",
+    "model = \"voyage-3-large\"\n",
     "vo = voyageai.Client()\n",
     "\n",
     "# Define a function to generate embeddings\n",

create-embeddings/voyage-new-data.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "This notebook is a companion to the [Create Embeddings](https://www.mongodb.com/docs/atlas/atlas-vector-search/create-embeddings/) page. Refer to the page for set-up instructions and detailed explanations.\n",
     "\n",
-    "This notebook takes you through how to generate embeddings from **new data** by using the ``voyage-3`` model from Voyage AI.\n",
+    "This notebook takes you through how to generate embeddings from **new data** by using the ``voyage-3-large`` model from Voyage AI.\n",
     "\n",
     "<a target=\"_blank\" href=\"https://colab.research.google.com/github/mongodb/docs-notebooks/blob/main/create-embeddings/voyage-new-data.ipynb\">\n",
     "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
@@ -55,7 +55,7 @@
     "\n",
     "# Specify your Voyage API key and embedding model\n",
     "os.environ[\"VOYAGE_API_KEY\"] = \"<api-key>\"\n",
-    "model = \"voyage-3\"\n",
+    "model = \"voyage-3-large\"\n",
     "vo = voyageai.Client()\n",
     "\n",
     "# Define a function to generate embeddings\n",

use-cases/rag-with-voyage.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "This notebook is a companion to the [Retrieval-Augmented Generation (RAG)](https://www.mongodb.com/docs/atlas/atlas-vector-search/rag/#get-started) tutorial. Refer to the page for set-up instructions and detailed explanations.\n",
     "\n",
-    "This notebook takes you through how to implement RAG with Atlas Vector Search by using the ``voyage-3`` embedding model from Voyage AI and an open-source generative model from Hugging Face.\n",
+    "This notebook takes you through how to implement RAG with Atlas Vector Search by using the ``voyage-3-large`` embedding model from Voyage AI and an open-source generative model from Hugging Face.\n",
     "\n",
     "<a target=\"_blank\" href=\"https://colab.research.google.com/github/mongodb/docs-notebooks/blob/main/use-cases/rag-with-voyage.ipynb\">\n",
     "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
@@ -55,7 +55,7 @@
     "import voyageai\n",
     "\n",
     "# Specify the Voyage AI embedding model\n",
-    "model = \"voyage-3\"\n",
+    "model = \"voyage-3-large\"\n",
     "vo = voyageai.Client()\n",
     "\n",
     "# Define a function to generate embeddings\n",