new dedicated langchain text splitter package + updated colab links

Author: davidhou17

ai-integrations/langchain-graphrag.ipynb

@@ -25,7 +25,7 @@
    },
    "outputs": [],
    "source": [
-    "pip install --quiet --upgrade pymongo langchain_community wikipedia langchain_openai langchain_mongodb pyvis"
+    "pip install --quiet --upgrade pymongo langchain_community wikipedia langchain_openai langchain_mongodb langchain-text-splitters pyvis"
    ]
   },
   {
@@ -88,7 +88,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import WikipediaLoader\n",
-    "from langchain.text_splitter import TokenTextSplitter\n",
+    "from langchain_text_splitters import TokenTextSplitter\n",
     "\n",
     "# Load Wikipedia pages corresponding to the query \"Sherlock Holmes\"\n",
     "wikipedia_pages = WikipediaLoader(query=\"Sherlock Holmes\", load_max_docs=3).load()\n",

ai-integrations/langchain-local-rag.ipynb

@@ -56,7 +56,7 @@
    },
    "outputs": [],
    "source": [
-    "pip install --quiet --upgrade pymongo langchain langchain-community langchain-huggingface gpt4all pypdf"
+    "pip install --quiet --upgrade pymongo langchain langchain-community langchain-huggingface langchain-text-splitters gpt4all pypdf"
    ]
   },
   {
@@ -103,7 +103,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import PyPDFLoader\n",
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
     "\n",
     "# Load the PDF\n",
     "loader = PyPDFLoader(\"https://investors.mongodb.com/node/13176/pdf\")\n",

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

@@ -15,7 +15,7 @@
    "source": [
     "This notebook is a companion to the [Memory and Semantic Caching](https://www.mongodb.com/docs/atlas/ai-integrations/langchain/memory-semantic-cache/) tutorial. Refer to the page for set-up instructions and detailed explanations.\n",
     "\n",
-    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/mongodb/docs-notebooks/blob/main/ai-integrations/langchain-memory-and-semantic-caching.ipynb\">\n",
+    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/mongodb/docs-notebooks/blob/main/ai-integrations/langchain-memory-semantic-cache.ipynb\">\n",
     "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "</a>"
    ]
@@ -31,7 +31,7 @@
    },
    "outputs": [],
    "source": [
-    "pip install --quiet --upgrade langchain langchain-community langchain-core langchain-mongodb langchain-voyageai langchain-openai pypdf"
+    "pip install --quiet --upgrade langchain langchain-community langchain-core langchain-mongodb langchain-voyageai langchain-openai langchain-text-splitters pypdf"
    ]
   },
   {
@@ -85,7 +85,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import PyPDFLoader\n",
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
     "\n",
     "# Load the PDF\n",
     "loader = PyPDFLoader(\"https://investors.mongodb.com/node/13176/pdf\")\n",

ai-integrations/langchain-parent-document-retrieval.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "This notebook is a companion to the [Parent Document Retrieval](https://www.mongodb.com/docs/atlas/ai-integrations/langchain/parent-document-retrieval/) page. Refer to the page for set-up instructions and detailed explanations.\n",
     "\n",
-    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/mongodb/docs-notebooks/blob/main/ai-integrations/langchain-hybrid-search.ipynb\">\n",
+    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/mongodb/docs-notebooks/blob/main/ai-integrations/langchain-parent-document-retrieval.ipynb\">\n",
     "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "</a>"
    ]
@@ -28,7 +28,7 @@
    },
    "outputs": [],
    "source": [
-    "pip install --quiet --upgrade langchain langchain-community langchain-core langchain-mongodb langchain-voyageai langchain-openai pymongo pypdf"
+    "pip install --quiet --upgrade langchain langchain-community langchain-core langchain-mongodb langchain-voyageai langchain-openai langchain-text-splitters pymongo pypdf"
    ]
   },
   {
@@ -50,7 +50,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
     "from langchain_community.document_loaders import PyPDFLoader\n",
     "\n",
     "# Load the PDF\n",

ai-integrations/langchain.ipynb

@@ -28,7 +28,7 @@
    },
    "outputs": [],
    "source": [
-    "pip install --quiet --upgrade langchain langchain-community langchain-core langchain-mongodb langchain-voyageai langchain-openai pymongo pypdf"
+    "pip install --quiet --upgrade langchain langchain-community langchain-core langchain-mongodb langchain-voyageai langchain-openai langchain-text-splitters pymongo pypdf"
    ]
   },
   {
@@ -51,7 +51,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import PyPDFLoader\n",
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
     "\n",
     "# Load the PDF\n",
     "loader = PyPDFLoader(\"https://investors.mongodb.com/node/13176/pdf\")\n",

use-cases/rag.ipynb

@@ -30,7 +30,7 @@
    },
    "outputs": [],
    "source": [
-    "pip install --quiet --upgrade pymongo sentence_transformers einops langchain langchain_community pypdf huggingface_hub"
+    "pip install --quiet --upgrade pymongo sentence_transformers einops langchain langchain_community langchain-text-splitters pypdf huggingface_hub"
    ]
   },
   {
@@ -71,7 +71,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import PyPDFLoader\n",
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
     "\n",
     "# Load the PDF\n",
     "loader = PyPDFLoader(\"https://investors.mongodb.com/node/12236/pdf\")\n",