docs: Fix broken imports in documentation (#19655)

Found via script in https://github.com/langchain-ai/langchain/pull/19611

docs/docs/guides/model_laboratory.ipynb

@@ -167,7 +167,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.chains import SelfAskWithSearchChain\n",
+    "from langchain.agents.self_ask_with_search.base import SelfAskWithSearchChain\n",
     "from langchain_community.utilities import SerpAPIWrapper\n",
     "\n",
     "open_ai_llm = OpenAI(temperature=0)\n",

docs/docs/integrations/document_loaders/apify_dataset.ipynb

@@ -41,7 +41,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import ApifyDatasetLoader\n",
-    "from langchain_community.document_loaders.base import Document"
+    "from langchain_core.documents import Document"
    ]
   },
   {

docs/docs/integrations/document_loaders/quip.ipynb

@@ -61,7 +61,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.document_loaders import QuipLoader\n",
+    "from langchain_community.document_loaders.quip import QuipLoader\n",
     "\n",
     "loader = QuipLoader(\n",
     "    api_url=\"https://platform.quip.com\", access_token=\"change_me\", request_timeout=60\n",

docs/docs/integrations/llms/llm_caching.ipynb

@@ -1378,7 +1378,7 @@
    },
    "outputs": [],
    "source": [
-    "from langchain.cache import AzureCosmosDBSemanticCache\n",
+    "from langchain_community.cache import AzureCosmosDBSemanticCache\n",
     "from langchain_community.vectorstores.azure_cosmos_db import (\n",
     "    CosmosDBSimilarityType,\n",
     "    CosmosDBVectorSearchType,\n",

docs/docs/integrations/memory/xata_chat_message_history.ipynb

@@ -154,7 +154,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_community.vectorstores import XataVectorStore\n",
+    "from langchain_community.vectorstores.xata import XataVectorStore\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "embeddings = OpenAIEmbeddings()\n",

docs/docs/integrations/retrievers/cohere-reranker.ipynb

@@ -334,7 +334,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain.retrievers import CohereRerank, ContextualCompressionRetriever\n",
+    "from langchain.retrievers.contextual_compression import ContextualCompressionRetriever\n",
+    "from langchain_cohere import CohereRerank\n",
     "from langchain_community.llms import Cohere\n",
     "\n",
     "llm = Cohere(temperature=0)\n",

docs/docs/integrations/retrievers/jaguar.ipynb

@@ -53,7 +53,7 @@
    "outputs": [],
    "source": [
     "from langchain_community.document_loaders import TextLoader\n",
-    "from langchain_community.vectorstores import Jaguar\n",
+    "from langchain_community.vectorstores.jaguar 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 import Jaguar\n",
+    "from langchain_community.vectorstores.jaguar import Jaguar\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "# Instantiate a Jaguar vector store object\n",

docs/docs/integrations/retrievers/llmlingua.ipynb

@@ -340,7 +340,7 @@
    ],
    "source": [
     "from langchain.retrievers import ContextualCompressionRetriever\n",
-    "from langchain_community.retrievers import LLMLinguaCompressor\n",
+    "from langchain_community.document_compressors import LLMLinguaCompressor\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
     "llm = ChatOpenAI(temperature=0)\n",

docs/docs/integrations/toolkits/airbyte_structured_qa.ipynb

@@ -28,8 +28,9 @@
     "import os\n",
     "\n",
     "import pandas as pd\n",
-    "from langchain.agents import AgentType, create_pandas_dataframe_agent\n",
+    "from langchain.agents import AgentType\n",
     "from langchain_community.document_loaders.airbyte import AirbyteStripeLoader\n",
+    "from langchain_experimental.agents import create_pandas_dataframe_agent\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
     "stream_name = \"customers\"\n",

docs/docs/integrations/toolkits/spark.ipynb

@@ -334,7 +334,7 @@
    "source": [
     "import os\n",
     "\n",
-    "from langchain.agents import create_spark_dataframe_agent\n",
+    "from langchain_experimental.agents import create_spark_dataframe_agent\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = \"...input your openai api key here...\"\n",

docs/docs/integrations/toolkits/xorbits.ipynb

@@ -380,7 +380,7 @@
    ],
    "source": [
     "import xorbits.numpy as np\n",
-    "from langchain.agents import create_xorbits_agent\n",
+    "from langchain_experimental.agents.agent_toolkits import create_xorbits_agent\n",
     "from langchain_openai import OpenAI\n",
     "\n",
     "arr = np.array([1, 2, 3, 4, 5, 6])\n",

docs/docs/integrations/tools/google_drive.ipynb

@@ -99,8 +99,8 @@
    },
    "outputs": [],
    "source": [
-    "from langchain_community.tools.google_drive.tool import GoogleDriveSearchTool\n",
-    "from langchain_community.utilities.google_drive import GoogleDriveAPIWrapper\n",
+    "from langchain_googldrive.tools.google_drive.tool import GoogleDriveSearchTool\n",
+    "from langchain_googledrive.utilities.google_drive import GoogleDriveAPIWrapper\n",
     "\n",
     "# By default, search only in the filename.\n",
     "tool = GoogleDriveSearchTool(\n",

docs/docs/integrations/vectorstores/vikingdb.ipynb

@@ -69,7 +69,7 @@
    "outputs": [],
    "source": [
     "from langchain.document_loaders import TextLoader\n",
-    "from langchain.vectorstores.vikingdb import VikingDB, VikingDBConfig\n",
+    "from langchain_community.vectorstores.vikingdb import VikingDB, VikingDBConfig\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "from langchain_text_splitters import RecursiveCharacterTextSplitter"
    ]

docs/docs/modules/callbacks/async_callbacks.ipynb

@@ -62,7 +62,8 @@
     "from typing import Any, Dict, List\n",
     "\n",
     "from langchain.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler\n",
-    "from langchain_core.messages import HumanMessage, LLMResult\n",
+    "from langchain_core.messages import HumanMessage\n",
+    "from langchain_core.outputs import LLMResult\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
     "\n",

docs/docs/use_cases/graph/integrations/graph_gremlin_cosmosdb_qa.ipynb

@@ -28,7 +28,7 @@
    "outputs": [],
    "source": [
     "import nest_asyncio\n",
-    "from langchain.chains.graph_qa import GremlinQAChain\n",
+    "from langchain.chains.graph_qa.gremlin import GremlinQAChain\n",
     "from langchain.schema import Document\n",
     "from langchain_community.graphs import GremlinGraph\n",
     "from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship\n",