diff --git a/docs/docs/integrations/retrievers/activeloop.ipynb b/docs/docs/integrations/retrievers/activeloop.ipynb
index 0fe9ae6ed9..2b7ac08b9a 100644
--- a/docs/docs/integrations/retrievers/activeloop.ipynb
+++ b/docs/docs/integrations/retrievers/activeloop.ipynb
@@ -63,6 +63,25 @@
     "ORG_ID = \"...\""
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-08T04:01:35.753257Z",
+     "iopub.status.busy": "2024-03-08T04:01:35.752712Z",
+     "iopub.status.idle": "2024-03-08T04:01:35.756716Z",
+     "shell.execute_reply": "2024-03-08T04:01:35.756265Z",
+     "shell.execute_reply.started": "2024-03-08T04:01:35.753220Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from langchain.chains import RetrievalQA\n",
+    "from langchain_community.vectorstores import DeepLake\n",
+    "from langchain_openai import ChatOpenAI, OpenAIEmbeddings"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -72,10 +91,6 @@
     "import getpass\n",
     "import os\n",
     "\n",
-    "from langchain.chains import RetrievalQA\n",
-    "from langchain.vectorstores.deeplake import DeepLake\n",
-    "from langchain_openai import OpenAIChat, OpenAIEmbeddings\n",
-    "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"Enter your OpenAI API token: \")\n",
     "# # activeloop token is needed if you are not signed in using CLI: `activeloop login -u <USERNAME> -p <PASSWORD>`\n",
     "os.environ[\"ACTIVELOOP_TOKEN\"] = getpass.getpass(\n",
@@ -151,15 +166,38 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-08T04:02:37.919739Z",
+     "iopub.status.busy": "2024-03-08T04:02:37.919328Z",
+     "iopub.status.idle": "2024-03-08T04:02:37.933457Z",
+     "shell.execute_reply": "2024-03-08T04:02:37.932716Z",
+     "shell.execute_reply.started": "2024-03-08T04:02:37.919707Z"
+    }
+   },
    "outputs": [],
    "source": [
-    "from langchain.document_loaders import AsyncHtmlLoader\n",
+    "from langchain_community.document_loaders.async_html import AsyncHtmlLoader\n",
     "\n",
     "loader = AsyncHtmlLoader(all_links)\n",
     "docs = loader.load()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-08T04:02:37.919739Z",
+     "iopub.status.busy": "2024-03-08T04:02:37.919328Z",
+     "iopub.status.idle": "2024-03-08T04:02:37.933457Z",
+     "shell.execute_reply": "2024-03-08T04:02:37.932716Z",
+     "shell.execute_reply.started": "2024-03-08T04:02:37.919707Z"
+    }
+   },
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -173,7 +211,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.document_transformers import Html2TextTransformer\n",
+    "from langchain_community.document_transformers import Html2TextTransformer\n",
     "\n",
     "html2text = Html2TextTransformer()\n",
     "docs_transformed = html2text.transform_documents(docs)"
@@ -569,7 +607,7 @@
     "    retriever.search_kwargs[\"deep_memory\"] = deep_memory\n",
     "\n",
     "    qa_chain = RetrievalQA.from_chain_type(\n",
-    "        llm=OpenAIChat(model=\"gpt-3.5-turbo\"),\n",
+    "        llm=ChatOpenAI(model=\"gpt-3.5-turbo\"),\n",
     "        chain_type=\"stuff\",\n",
     "        retriever=retriever,\n",
     "        return_source_documents=True,\n",
@@ -596,9 +634,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
+   "metadata": {},
    "source": [
     "### 3.3 Deep Memory Inference"
    ]
@@ -637,7 +673,7 @@
     "\n",
     "query = \"Deamination of cytidine to uridine on the minus strand of viral DNA results in catastrophic G-to-A mutations in the viral genome.\"\n",
     "qa = RetrievalQA.from_chain_type(\n",
-    "    llm=OpenAIChat(model=\"gpt-4\"), chain_type=\"stuff\", retriever=retriever\n",
+    "    llm=ChatOpenAI(model=\"gpt-4\"), chain_type=\"stuff\", retriever=retriever\n",
     ")\n",
     "print(qa.run(query))"
    ]
@@ -669,7 +705,7 @@
     "\n",
     "query = \"Deamination of cytidine to uridine on the minus strand of viral DNA results in catastrophic G-to-A mutations in the viral genome.\"\n",
     "qa = RetrievalQA.from_chain_type(\n",
-    "    llm=OpenAIChat(model=\"gpt-4\"), chain_type=\"stuff\", retriever=retriever\n",
+    "    llm=ChatOpenAI(model=\"gpt-4\"), chain_type=\"stuff\", retriever=retriever\n",
     ")\n",
     "qa.run(query)"
    ]
@@ -705,7 +741,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/amazon_kendra_retriever.ipynb b/docs/docs/integrations/retrievers/amazon_kendra_retriever.ipynb
index ce9d8bf321..7c4c78ae4a 100644
--- a/docs/docs/integrations/retrievers/amazon_kendra_retriever.ipynb
+++ b/docs/docs/integrations/retrievers/amazon_kendra_retriever.ipynb
@@ -35,7 +35,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import AmazonKendraRetriever"
+    "from langchain_community.retrievers import AmazonKendraRetriever"
    ]
   },
   {
diff --git a/docs/docs/integrations/retrievers/arcee.ipynb b/docs/docs/integrations/retrievers/arcee.ipynb
index 0869098f37..1f637458fa 100644
--- a/docs/docs/integrations/retrievers/arcee.ipynb
+++ b/docs/docs/integrations/retrievers/arcee.ipynb
@@ -23,7 +23,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import ArceeRetriever\n",
+    "from langchain_community.retrievers import ArceeRetriever\n",
     "\n",
     "retriever = ArceeRetriever(\n",
     "    model=\"DALM-PubMed\",\n",
@@ -111,7 +111,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -129,5 +129,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/docs/docs/integrations/retrievers/arxiv.ipynb b/docs/docs/integrations/retrievers/arxiv.ipynb
index e01a92f46e..5d4b74a894 100644
--- a/docs/docs/integrations/retrievers/arxiv.ipynb
+++ b/docs/docs/integrations/retrievers/arxiv.ipynb
@@ -77,7 +77,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import ArxivRetriever"
+    "from langchain_community.retrievers import ArxivRetriever"
    ]
   },
   {
@@ -318,7 +318,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/azure_cognitive_search.ipynb b/docs/docs/integrations/retrievers/azure_cognitive_search.ipynb
index 5a3c2ca283..75bb8b2f6a 100644
--- a/docs/docs/integrations/retrievers/azure_cognitive_search.ipynb
+++ b/docs/docs/integrations/retrievers/azure_cognitive_search.ipynb
@@ -53,7 +53,9 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.retrievers import AzureCognitiveSearchRetriever"
+    "from langchain_community.retrievers import (\n",
+    "    AzureCognitiveSearchRetriever,\n",
+    ")"
    ]
   },
   {
@@ -119,28 +121,6 @@
    "source": [
     "You can change the number of results returned with the `top_k` parameter. The default value is `None`, which returns all results. "
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "097146c5",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6d9963f5",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dc120696",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {
@@ -159,7 +139,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/bedrock.ipynb b/docs/docs/integrations/retrievers/bedrock.ipynb
index 9d79a60098..64a2bec90f 100644
--- a/docs/docs/integrations/retrievers/bedrock.ipynb
+++ b/docs/docs/integrations/retrievers/bedrock.ipynb
@@ -41,7 +41,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import AmazonKnowledgeBasesRetriever\n",
+    "from langchain_community.retrievers import AmazonKnowledgeBasesRetriever\n",
     "\n",
     "retriever = AmazonKnowledgeBasesRetriever(\n",
     "    knowledge_base_id=\"PUIJP4EQUA\",\n",
diff --git a/docs/docs/integrations/retrievers/bm25.ipynb b/docs/docs/integrations/retrievers/bm25.ipynb
index d7416048d8..241b3e5639 100644
--- a/docs/docs/integrations/retrievers/bm25.ipynb
+++ b/docs/docs/integrations/retrievers/bm25.ipynb
@@ -25,23 +25,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "393ac030",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/workspaces/langchain/.venv/lib/python3.10/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.6.10) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from langchain.retrievers import BM25Retriever"
+    "from langchain_community.retrievers import BM25Retriever"
    ]
   },
   {
@@ -167,7 +158,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/breebs.ipynb b/docs/docs/integrations/retrievers/breebs.ipynb
index 4f6c23af18..5d7e26b711 100644
--- a/docs/docs/integrations/retrievers/breebs.ipynb
+++ b/docs/docs/integrations/retrievers/breebs.ipynb
@@ -38,7 +38,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import BreebsRetriever"
+    "from langchain_community.retrievers import BreebsRetriever"
    ]
   },
   {
@@ -73,7 +73,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -91,5 +91,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/docs/docs/integrations/retrievers/chaindesk.ipynb b/docs/docs/integrations/retrievers/chaindesk.ipynb
index 43248f827a..7968e1cd0c 100644
--- a/docs/docs/integrations/retrievers/chaindesk.ipynb
+++ b/docs/docs/integrations/retrievers/chaindesk.ipynb
@@ -44,7 +44,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import ChaindeskRetriever"
+    "from langchain_community.retrievers import ChaindeskRetriever"
    ]
   },
   {
@@ -103,7 +103,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/chatgpt-plugin.ipynb b/docs/docs/integrations/retrievers/chatgpt-plugin.ipynb
index 7861d05889..356b13fde1 100644
--- a/docs/docs/integrations/retrievers/chatgpt-plugin.ipynb
+++ b/docs/docs/integrations/retrievers/chatgpt-plugin.ipynb
@@ -31,7 +31,7 @@
     "# Load documents using LangChain's DocumentLoaders\n",
     "# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html\n",
     "\n",
-    "from langchain_community.document_loaders.csv_loader import CSVLoader\n",
+    "from langchain_community.document_loaders import CSVLoader\n",
     "\n",
     "loader = CSVLoader(\n",
     "    file_path=\"../../document_loaders/examples/example_data/mlb_teams_2012.csv\"\n",
@@ -113,7 +113,9 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import ChatGPTPluginRetriever"
+    "from langchain_community.retrievers import (\n",
+    "    ChatGPTPluginRetriever,\n",
+    ")"
    ]
   },
   {
@@ -176,7 +178,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/cohere-reranker.ipynb b/docs/docs/integrations/retrievers/cohere-reranker.ipynb
index ae63322370..7c953ef8a8 100644
--- a/docs/docs/integrations/retrievers/cohere-reranker.ipynb
+++ b/docs/docs/integrations/retrievers/cohere-reranker.ipynb
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6fa3d916",
+   "id": "f5057385",
    "metadata": {
     "jp-MarkdownHeadingCollapsed": true,
     "tags": []
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b7648612",
+   "id": "f230c065",
    "metadata": {},
    "source": [
     "## Doing reranking with CohereRerank\n",
@@ -329,41 +329,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "b83dfedb",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Document 1:\n",
-      "\n",
-      "One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court. \n",
-      "\n",
-      "And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.\n",
-      "----------------------------------------------------------------------------------------------------\n",
-      "Document 2:\n",
-      "\n",
-      "I spoke with their families and told them that we are forever in debt for their sacrifice, and we will carry on their mission to restore the trust and safety every community deserves. \n",
-      "\n",
-      "I’ve worked on these issues a long time. \n",
-      "\n",
-      "I know what works: Investing in crime prevention and community police officers who’ll walk the beat, who’ll know the neighborhood, and who can restore trust and safety. \n",
-      "\n",
-      "So let’s not abandon our streets. Or choose between safety and equal justice.\n",
-      "----------------------------------------------------------------------------------------------------\n",
-      "Document 3:\n",
-      "\n",
-      "A former top litigator in private practice. A former federal public defender. And from a family of public school educators and police officers. A consensus builder. Since she’s been nominated, she’s received a broad range of support—from the Fraternal Order of Police to former judges appointed by Democrats and Republicans. \n",
-      "\n",
-      "And if we are to advance liberty and justice, we need to secure the Border and fix the immigration system.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from langchain.retrievers import ContextualCompressionRetriever\n",
-    "from langchain.retrievers.document_compressors import CohereRerank\n",
+    "from langchain.retrievers import CohereRerank, ContextualCompressionRetriever\n",
     "from langchain_community.llms import Cohere\n",
     "\n",
     "llm = Cohere(temperature=0)\n",
@@ -380,7 +351,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b83dfedb",
+   "id": "70727c2f",
    "metadata": {},
    "source": [
     "You can of course use this retriever within a QA pipeline"
@@ -447,7 +418,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/cohere.ipynb b/docs/docs/integrations/retrievers/cohere.ipynb
index b6dec184e1..e3f8e084a6 100644
--- a/docs/docs/integrations/retrievers/cohere.ipynb
+++ b/docs/docs/integrations/retrievers/cohere.ipynb
@@ -12,21 +12,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "d4a7c55d-b235-4ca4-a579-c90cc9570da9",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import CohereRagRetriever\n",
     "from langchain_community.chat_models import ChatCohere\n",
+    "from langchain_community.retrievers import CohereRagRetriever\n",
     "from langchain_core.documents import Document"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "70cf04e8-423a-4ff6-8b09-f11fb711c817",
    "metadata": {
     "tags": []
@@ -204,9 +204,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "poetry-venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "poetry-venv"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -218,7 +218,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/docarray_retriever.ipynb b/docs/docs/integrations/retrievers/docarray_retriever.ipynb
index f220cf2708..51aa1f4f82 100644
--- a/docs/docs/integrations/retrievers/docarray_retriever.ipynb
+++ b/docs/docs/integrations/retrievers/docarray_retriever.ipynb
@@ -23,9 +23,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "b72a4512-6318-4572-adf2-12b06b2d2e72",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-06T23:32:57.103738Z",
+     "iopub.status.busy": "2024-03-06T23:32:57.103379Z",
+     "iopub.status.idle": "2024-03-06T23:32:57.106662Z",
+     "shell.execute_reply": "2024-03-06T23:32:57.106261Z",
+     "shell.execute_reply.started": "2024-03-06T23:32:57.103723Z"
+    },
     "tags": []
    },
    "outputs": [],
@@ -34,8 +41,8 @@
     "\n",
     "from docarray import BaseDoc\n",
     "from docarray.typing import NdArray\n",
-    "from langchain.retrievers import DocArrayRetriever\n",
     "from langchain_community.embeddings import FakeEmbeddings\n",
+    "from langchain_community.retrievers import DocArrayRetriever\n",
     "\n",
     "embeddings = FakeEmbeddings(size=32)"
    ]
diff --git a/docs/docs/integrations/retrievers/elastic_search_bm25.ipynb b/docs/docs/integrations/retrievers/elastic_search_bm25.ipynb
index 6ec4c04f60..656d9a6ee4 100644
--- a/docs/docs/integrations/retrievers/elastic_search_bm25.ipynb
+++ b/docs/docs/integrations/retrievers/elastic_search_bm25.ipynb
@@ -39,7 +39,9 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import ElasticSearchBM25Retriever"
+    "from langchain_community.retrievers import (\n",
+    "    ElasticSearchBM25Retriever,\n",
+    ")"
    ]
   },
   {
@@ -178,7 +180,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/embedchain.ipynb b/docs/docs/integrations/retrievers/embedchain.ipynb
index 9169c3067b..6a1295f336 100644
--- a/docs/docs/integrations/retrievers/embedchain.ipynb
+++ b/docs/docs/integrations/retrievers/embedchain.ipynb
@@ -78,9 +78,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import EmbedchainRetriever\n",
+    "from langchain_community.retrievers import EmbedchainRetriever\n",
     "\n",
-    "# create retriever with default options\n",
+    "# create a retriever with default options\n",
     "retriever = EmbedchainRetriever.create()\n",
     "\n",
     "# or if you want to customize, pass the yaml config path\n",
@@ -247,7 +247,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/flashrank-reranker.ipynb b/docs/docs/integrations/retrievers/flashrank-reranker.ipynb
index 27a19dbc29..01732e67f2 100644
--- a/docs/docs/integrations/retrievers/flashrank-reranker.ipynb
+++ b/docs/docs/integrations/retrievers/flashrank-reranker.ipynb
@@ -3,7 +3,10 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "# Flashrank Reranker\n",
@@ -16,6 +19,9 @@
    "execution_count": null,
    "metadata": {
     "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    },
     "pycharm": {
      "is_executing": true
     }
@@ -34,7 +40,10 @@
    "cell_type": "code",
    "execution_count": 13,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -52,7 +61,10 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "## Set up the base vector store retriever\n",
@@ -63,7 +75,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -77,7 +92,10 @@
    "cell_type": "code",
    "execution_count": 15,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -310,7 +328,10 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "## Doing reranking with FlashRank\n",
@@ -319,22 +340,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[0, 3, 7]\n"
-     ]
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
-   ],
+   },
+   "outputs": [],
    "source": [
-    "from langchain.retrievers import ContextualCompressionRetriever\n",
-    "from langchain.retrievers.document_compressors import FlashrankRerank\n",
+    "from langchain.retrievers import ContextualCompressionRetriever, FlashrankRerank\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
     "llm = ChatOpenAI(temperature=0)\n",
@@ -353,7 +368,10 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "After reranking, the top 3 documents are different from the top 3 documents retrieved by the base retriever."
@@ -363,7 +381,10 @@
    "cell_type": "code",
    "execution_count": 20,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -411,7 +432,10 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "## QA reranking with FlashRank"
@@ -421,7 +445,10 @@
    "cell_type": "code",
    "execution_count": 18,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -434,12 +461,18 @@
    "cell_type": "code",
    "execution_count": 19,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "{'query': 'What did the president say about Ketanji Brown Jackson',\n 'result': \"The President said that Ketanji Brown Jackson is one of our nation's top legal minds and will continue Justice Breyer's legacy of excellence.\"}"
+      "text/plain": [
+       "{'query': 'What did the president say about Ketanji Brown Jackson',\n",
+       " 'result': \"The President said that Ketanji Brown Jackson is one of our nation's top legal minds and will continue Justice Breyer's legacy of excellence.\"}"
+      ]
      },
      "execution_count": 19,
      "metadata": {},
@@ -453,23 +486,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 4
 }
diff --git a/docs/docs/integrations/retrievers/fleet_context.ipynb b/docs/docs/integrations/retrievers/fleet_context.ipynb
index 0609d6cba2..a33021047f 100644
--- a/docs/docs/integrations/retrievers/fleet_context.ipynb
+++ b/docs/docs/integrations/retrievers/fleet_context.ipynb
@@ -263,7 +263,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/google_vertex_ai_search.ipynb b/docs/docs/integrations/retrievers/google_vertex_ai_search.ipynb
index 96c2eaf3e9..52104b0f9a 100644
--- a/docs/docs/integrations/retrievers/google_vertex_ai_search.ipynb
+++ b/docs/docs/integrations/retrievers/google_vertex_ai_search.ipynb
@@ -163,7 +163,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import (\n",
+    "from langchain_community.retrievers import (\n",
     "    GoogleVertexAIMultiTurnSearchRetriever,\n",
     "    GoogleVertexAISearchRetriever,\n",
     ")\n",
@@ -308,7 +308,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -322,10 +322,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
-  },
-  "orig_nbformat": 4
+   "version": "3.10.12"
+  }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/docs/docs/integrations/retrievers/jaguar.ipynb b/docs/docs/integrations/retrievers/jaguar.ipynb
index 3d3287a69e..efb063b285 100644
--- a/docs/docs/integrations/retrievers/jaguar.ipynb
+++ b/docs/docs/integrations/retrievers/jaguar.ipynb
@@ -53,7 +53,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import TextLoader\n",
-    "from langchain_community.vectorstores.jaguar import Jaguar\n",
+    "from langchain_community.vectorstores import Jaguar\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import CharacterTextSplitter\n",
     "\n",
@@ -147,7 +147,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores.jaguar import Jaguar\n",
+    "from langchain_community.vectorstores import Jaguar\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "# Instantiate a Jaguar vector store object\n",
diff --git a/docs/docs/integrations/retrievers/kay.ipynb b/docs/docs/integrations/retrievers/kay.ipynb
index 57dd0e2b9b..49727f1178 100644
--- a/docs/docs/integrations/retrievers/kay.ipynb
+++ b/docs/docs/integrations/retrievers/kay.ipynb
@@ -72,7 +72,7 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.retrievers import KayAiRetriever\n",
+    "from langchain_community.retrievers import KayAiRetriever\n",
     "\n",
     "os.environ[\"KAY_API_KEY\"] = KAY_API_KEY\n",
     "retriever = KayAiRetriever.create(\n",
@@ -205,7 +205,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/knn.ipynb b/docs/docs/integrations/retrievers/knn.ipynb
index d1582f66ff..0324a1823f 100644
--- a/docs/docs/integrations/retrievers/knn.ipynb
+++ b/docs/docs/integrations/retrievers/knn.ipynb
@@ -16,12 +16,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "393ac030",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import KNNRetriever\n",
+    "from langchain_community.retrievers import KNNRetriever\n",
     "from langchain_openai import OpenAIEmbeddings"
    ]
   },
@@ -106,7 +106,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/llmlingua.ipynb b/docs/docs/integrations/retrievers/llmlingua.ipynb
index 81a56f139e..3e56f726d8 100644
--- a/docs/docs/integrations/retrievers/llmlingua.ipynb
+++ b/docs/docs/integrations/retrievers/llmlingua.ipynb
@@ -70,9 +70,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "b7648612",
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -342,7 +340,7 @@
    ],
    "source": [
     "from langchain.retrievers import ContextualCompressionRetriever\n",
-    "from langchain_community.retrievers.document_compressors import LLMLinguaCompressor\n",
+    "from langchain_community.retrievers import LLMLinguaCompressor\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
     "llm = ChatOpenAI(temperature=0)\n",
@@ -427,7 +425,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/merger_retriever.ipynb b/docs/docs/integrations/retrievers/merger_retriever.ipynb
index 85f3741e93..22d2948176 100644
--- a/docs/docs/integrations/retrievers/merger_retriever.ipynb
+++ b/docs/docs/integrations/retrievers/merger_retriever.ipynb
@@ -23,9 +23,11 @@
     "import os\n",
     "\n",
     "import chromadb\n",
-    "from langchain.retrievers import ContextualCompressionRetriever\n",
-    "from langchain.retrievers.document_compressors import DocumentCompressorPipeline\n",
-    "from langchain.retrievers.merger_retriever import MergerRetriever\n",
+    "from langchain.retrievers import (\n",
+    "    ContextualCompressionRetriever,\n",
+    "    DocumentCompressorPipeline,\n",
+    "    MergerRetriever,\n",
+    ")\n",
     "from langchain_community.document_transformers import (\n",
     "    EmbeddingsClusteringFilter,\n",
     "    EmbeddingsRedundantFilter,\n",
@@ -186,7 +188,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/metal.ipynb b/docs/docs/integrations/retrievers/metal.ipynb
index 9c42da9be2..8a6b51ee41 100644
--- a/docs/docs/integrations/retrievers/metal.ipynb
+++ b/docs/docs/integrations/retrievers/metal.ipynb
@@ -91,7 +91,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import MetalRetriever"
+    "from langchain_community.retrievers import MetalRetriever"
    ]
   },
   {
@@ -151,7 +151,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/outline.ipynb b/docs/docs/integrations/retrievers/outline.ipynb
index 19ec98fb48..53b72d6175 100644
--- a/docs/docs/integrations/retrievers/outline.ipynb
+++ b/docs/docs/integrations/retrievers/outline.ipynb
@@ -78,7 +78,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import OutlineRetriever"
+    "from langchain_community.retrievers import OutlineRetriever"
    ]
   },
   {
@@ -169,7 +169,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -183,9 +183,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb b/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb
index c1a6a89eb3..8d7fc74849 100644
--- a/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb
+++ b/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb
@@ -47,7 +47,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import PineconeHybridSearchRetriever"
+    "from langchain_community.retrievers import (\n",
+    "    PineconeHybridSearchRetriever,\n",
+    ")"
    ]
   },
   {
@@ -334,7 +336,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/docs/integrations/retrievers/pubmed.ipynb b/docs/docs/integrations/retrievers/pubmed.ipynb
index 590538f6e8..7a35132838 100644
--- a/docs/docs/integrations/retrievers/pubmed.ipynb
+++ b/docs/docs/integrations/retrievers/pubmed.ipynb
@@ -20,7 +20,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import PubMedRetriever"
+    "from langchain_community.retrievers import PubMedRetriever"
    ]
   },
   {
@@ -81,7 +81,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/qdrant-sparse.ipynb b/docs/docs/integrations/retrievers/qdrant-sparse.ipynb
index 1f03c8d992..17b81b543c 100644
--- a/docs/docs/integrations/retrievers/qdrant-sparse.ipynb
+++ b/docs/docs/integrations/retrievers/qdrant-sparse.ipynb
@@ -78,7 +78,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.retrievers import QdrantSparseVectorRetriever\n",
+    "from langchain_community.retrievers import (\n",
+    "    QdrantSparseVectorRetriever,\n",
+    ")\n",
     "from langchain_core.documents import Document"
    ]
   },
@@ -247,7 +249,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/ragatouille.ipynb b/docs/docs/integrations/retrievers/ragatouille.ipynb
index 92e05a1ffb..350c831c14 100644
--- a/docs/docs/integrations/retrievers/ragatouille.ipynb
+++ b/docs/docs/integrations/retrievers/ragatouille.ipynb
@@ -510,7 +510,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/sec_filings.ipynb b/docs/docs/integrations/retrievers/sec_filings.ipynb
index e46fffd921..67336a27d4 100644
--- a/docs/docs/integrations/retrievers/sec_filings.ipynb
+++ b/docs/docs/integrations/retrievers/sec_filings.ipynb
@@ -78,7 +78,7 @@
    "outputs": [],
    "source": [
     "from langchain.chains import ConversationalRetrievalChain\n",
-    "from langchain.retrievers import KayAiRetriever\n",
+    "from langchain_community.retrievers import KayAiRetriever\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
     "model = ChatOpenAI(model_name=\"gpt-3.5-turbo\")\n",
diff --git a/docs/docs/integrations/retrievers/singlestoredb.ipynb b/docs/docs/integrations/retrievers/singlestoredb.ipynb
index fca6deda43..9c3c9a5946 100644
--- a/docs/docs/integrations/retrievers/singlestoredb.ipynb
+++ b/docs/docs/integrations/retrievers/singlestoredb.ipynb
@@ -114,7 +114,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/svm.ipynb b/docs/docs/integrations/retrievers/svm.ipynb
index 259329f6e5..93df710d08 100644
--- a/docs/docs/integrations/retrievers/svm.ipynb
+++ b/docs/docs/integrations/retrievers/svm.ipynb
@@ -80,7 +80,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import SVMRetriever\n",
+    "from langchain_community.retrievers import SVMRetriever\n",
     "from langchain_openai import OpenAIEmbeddings"
    ]
   },
@@ -179,7 +179,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/tavily.ipynb b/docs/docs/integrations/retrievers/tavily.ipynb
index c52425e182..8358202612 100644
--- a/docs/docs/integrations/retrievers/tavily.ipynb
+++ b/docs/docs/integrations/retrievers/tavily.ipynb
@@ -76,7 +76,7 @@
     }
    ],
    "source": [
-    "from langchain.retrievers.tavily_search_api import TavilySearchAPIRetriever\n",
+    "from langchain_community.retrievers import TavilySearchAPIRetriever\n",
     "\n",
     "retriever = TavilySearchAPIRetriever(k=3)\n",
     "\n",
@@ -162,7 +162,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/tf_idf.ipynb b/docs/docs/integrations/retrievers/tf_idf.ipynb
index 3e8d2eb4bd..617d9ab381 100644
--- a/docs/docs/integrations/retrievers/tf_idf.ipynb
+++ b/docs/docs/integrations/retrievers/tf_idf.ipynb
@@ -213,7 +213,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/vespa.ipynb b/docs/docs/integrations/retrievers/vespa.ipynb
index 5e30e05ee7..98ce88e92f 100644
--- a/docs/docs/integrations/retrievers/vespa.ipynb
+++ b/docs/docs/integrations/retrievers/vespa.ipynb
@@ -67,7 +67,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers.vespa_retriever import VespaRetriever\n",
+    "from langchain_community.retrievers import VespaRetriever\n",
     "\n",
     "vespa_query_body = {\n",
     "    \"yql\": \"select content from paragraph where userQuery()\",\n",
@@ -130,7 +130,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/weaviate-hybrid.ipynb b/docs/docs/integrations/retrievers/weaviate-hybrid.ipynb
index fdcad48d65..7bb09c06b6 100644
--- a/docs/docs/integrations/retrievers/weaviate-hybrid.ipynb
+++ b/docs/docs/integrations/retrievers/weaviate-hybrid.ipynb
@@ -73,7 +73,9 @@
     }
    ],
    "source": [
-    "from langchain.retrievers.weaviate_hybrid_search import WeaviateHybridSearchRetriever\n",
+    "from langchain_community.retrievers import (\n",
+    "    WeaviateHybridSearchRetriever,\n",
+    ")\n",
     "from langchain_core.documents import Document"
    ]
   },
@@ -293,7 +295,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.17"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/wikipedia.ipynb b/docs/docs/integrations/retrievers/wikipedia.ipynb
index b4f0fb1a69..c070bb740d 100644
--- a/docs/docs/integrations/retrievers/wikipedia.ipynb
+++ b/docs/docs/integrations/retrievers/wikipedia.ipynb
@@ -78,7 +78,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.retrievers import WikipediaRetriever"
+    "from langchain_community.retrievers import WikipediaRetriever"
    ]
   },
   {
@@ -266,7 +266,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/you-retriever.ipynb b/docs/docs/integrations/retrievers/you-retriever.ipynb
index 950c592cda..d32f167251 100644
--- a/docs/docs/integrations/retrievers/you-retriever.ipynb
+++ b/docs/docs/integrations/retrievers/you-retriever.ipynb
@@ -94,7 +94,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.utilities.you import YouSearchAPIWrapper\n",
+    "from langchain_community.utilities import YouSearchAPIWrapper\n",
     "\n",
     "utility = YouSearchAPIWrapper(num_web_results=1)\n",
     "\n",
@@ -411,7 +411,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/docs/docs/integrations/retrievers/zep_memorystore.ipynb b/docs/docs/integrations/retrievers/zep_memorystore.ipynb
index 95a4de10ef..fbf0ef890d 100644
--- a/docs/docs/integrations/retrievers/zep_memorystore.ipynb
+++ b/docs/docs/integrations/retrievers/zep_memorystore.ipynb
@@ -54,7 +54,10 @@
      "end_time": "2023-08-11T20:31:12.231459Z",
      "start_time": "2023-08-11T20:31:11.211176Z"
     },
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -106,7 +109,10 @@
      "end_time": "2023-08-11T20:31:12.342790Z",
      "start_time": "2023-08-11T20:31:12.235291Z"
     },
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -124,7 +130,10 @@
      "end_time": "2023-08-11T20:31:14.455269Z",
      "start_time": "2023-08-11T20:31:12.345635Z"
     },
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -274,7 +283,10 @@
      "end_time": "2023-08-11T20:31:14.758738Z",
      "start_time": "2023-08-11T20:31:14.458850Z"
     },
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -293,8 +305,7 @@
     }
    ],
    "source": [
-    "from langchain.retrievers import ZepRetriever\n",
-    "from langchain.retrievers.zep import SearchScope, SearchType\n",
+    "from langchain_community.retrievers.zep import SearchScope, SearchType, ZepRetriever\n",
     "\n",
     "zep_retriever = ZepRetriever(\n",
     "    session_id=session_id,  # Ensure that you provide the session_id when instantiating the Retriever\n",
@@ -322,7 +333,10 @@
      "end_time": "2023-08-11T20:31:14.922838Z",
      "start_time": "2023-08-11T20:31:14.751737Z"
     },
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -362,7 +376,10 @@
      "end_time": "2023-08-11T20:31:14.923032Z",
      "start_time": "2023-08-11T20:31:14.918181Z"
     },
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -501,7 +518,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,