Update Integrations links (#8206)

docs/extras/_templates/integration.mdx

@@ -31,7 +31,7 @@ There isn't any special setup for it.
 
 ## LLM
 
-See a [usage example](/docs/modules/model_io/models/llms/integrations/INCLUDE_REAL_NAME.html).
+See a [usage example](/docs/integrations/llms/INCLUDE_REAL_NAME).
 
 ```python
 from langchain.llms import integration_class_REPLACE_ME
@@ -40,7 +40,7 @@ from langchain.llms import integration_class_REPLACE_ME
 
 ## Text Embedding Models
 
-See a [usage example](/docs/modules/data_connection/text_embedding/integrations/INCLUDE_REAL_NAME.html)
+See a [usage example](/docs/integrations/text_embedding/INCLUDE_REAL_NAME)
 
 ```python
 from langchain.embeddings import integration_class_REPLACE_ME
@@ -49,7 +49,7 @@ from langchain.embeddings import integration_class_REPLACE_ME
 
 ## Chat Models
 
-See a [usage example](/docs/modules/model_io/models/chat/integrations/INCLUDE_REAL_NAME.html)
+See a [usage example](/docs/integrations/chat/INCLUDE_REAL_NAME)
 
 ```python
 from langchain.chat_models import integration_class_REPLACE_ME
@@ -57,7 +57,7 @@ from langchain.chat_models import integration_class_REPLACE_ME
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/INCLUDE_REAL_NAME.html).
+See a [usage example](/docs/integrations/document_loaders/INCLUDE_REAL_NAME).
 
 ```python
 from langchain.document_loaders import integration_class_REPLACE_ME

docs/extras/integrations/callbacks/promptlayer.ipynb

@@ -11,7 +11,7 @@
     "\n",
     "[PromptLayer](https://promptlayer.com) is a an LLM observability platform that lets you visualize requests, version prompts, and track usage. In this guide we will go over how to setup the `PromptLayerCallbackHandler`. \n",
     "\n",
-    "While PromptLayer does have LLMs that integrate directly with LangChain (eg [`PromptLayerOpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/promptlayer_openai)), this callback is the recommended way to integrate PromptLayer with LangChain.\n",
+    "While PromptLayer does have LLMs that integrate directly with LangChain (eg [`PromptLayerOpenAI`](https://python.langchain.com/docs/integrations/llms/promptlayer_openai)), this callback is the recommended way to integrate PromptLayer with LangChain.\n",
     "\n",
     "See [our docs](https://docs.promptlayer.com/languages/langchain) for more information."
    ]

docs/extras/integrations/document_loaders/apify_dataset.ipynb

@@ -13,7 +13,7 @@
     "\n",
     "## Prerequisites\n",
     "\n",
-    "You need to have an existing dataset on the Apify platform. If you don't have one, please first check out [this notebook](/docs/modules/agents/tools/integrations/apify.html) on how to use Apify to extract content from documentation, knowledge bases, help centers, or blogs."
+    "You need to have an existing dataset on the Apify platform. If you don't have one, please first check out [this notebook](/docs/integrations/tools/apify.html) on how to use Apify to extract content from documentation, knowledge bases, help centers, or blogs."
    ]
   },
   {

docs/extras/integrations/llms/azure_openai_example.ipynb

@@ -36,7 +36,7 @@
     "## Deployments\n",
     "With Azure OpenAI, you set up your own deployments of the common GPT-3 and Codex models.  When calling the API, you need to specify the deployment you want to use.\n",
     "\n",
-    "_**Note**: These docs are for the Azure text completion models. Models like GPT-4 are chat models. They have a slightly different interface, and can be accessed via the `AzureChatOpenAI` class. For docs on Azure chat see [Azure Chat OpenAI documentation](/docs/modules/model_io/models/chat/integrations/azure_chat_openai)._\n",
+    "_**Note**: These docs are for the Azure text completion models. Models like GPT-4 are chat models. They have a slightly different interface, and can be accessed via the `AzureChatOpenAI` class. For docs on Azure chat see [Azure Chat OpenAI documentation](/docs/integrations/chat/azure_chat_openai)._\n",
     "\n",
     "Let's say your deployment name is `text-davinci-002-prod`.  In the `openai` Python API, you can specify this deployment with the `engine` parameter.  For example:\n",
     "\n",

docs/extras/integrations/providers/airbyte.mdx

@@ -22,7 +22,7 @@ Have `docker desktop` installed.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/airbyte_json.html).
+See a [usage example](/docs/integrations/document_loaders/airbyte_json).
 
 ```python
 from langchain.document_loaders import AirbyteJSONLoader

docs/extras/integrations/providers/airtable.md

@@ -25,4 +25,4 @@ pip install pyairtable
 from langchain.document_loaders import AirtableLoader
 ```
 
-See an [example](/docs/modules/data_connection/document_loaders/integrations/airtable.html).
+See an [example](/docs/integrations/document_loaders/airtable.html).

docs/extras/integrations/providers/aleph_alpha.mdx

@@ -21,7 +21,7 @@ ALEPH_ALPHA_API_KEY = getpass()
 
 ## LLM
 
-See a [usage example](/docs/modules/model_io/models/llms/integrations/aleph_alpha.html).
+See a [usage example](/docs/integrations/llms/aleph_alpha).
 
 ```python
 from langchain.llms import AlephAlpha
@@ -29,7 +29,7 @@ from langchain.llms import AlephAlpha
 
 ## Text Embedding Models
 
-See a [usage example](/docs/modules/data_connection/text_embedding/integrations/aleph_alpha.html).
+See a [usage example](/docs/integrations/text_embedding/aleph_alpha).
 
 ```python
 from langchain.embeddings import AlephAlphaSymmetricSemanticEmbedding, AlephAlphaAsymmetricSemanticEmbedding

docs/extras/integrations/providers/amazon_api_gateway.mdx

@@ -6,7 +6,7 @@ API Gateway handles all the tasks involved in accepting and processing up to hun
 
 ## LLM
 
-See a [usage example](/docs/modules/model_io/models/llms/integrations/amazon_api_gateway_example.html).
+See a [usage example](/docs/integrations/llms/amazon_api_gateway_example).
 
 ```python
 from langchain.llms import AmazonAPIGateway

docs/extras/integrations/providers/analyticdb.mdx

@@ -12,4 +12,4 @@ To import this vectorstore:
 from langchain.vectorstores import AnalyticDB
 ```
 
-For a more detailed walkthrough of the AnalyticDB wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/analyticdb.html)
+For a more detailed walkthrough of the AnalyticDB wrapper, see [this notebook](/docs/integrations/vectorstores/analyticdb.html)

docs/extras/integrations/providers/annoy.mdx

@@ -11,7 +11,7 @@ pip install annoy
 
 ## Vectorstore
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/annoy.html).
+See a [usage example](/docs/integrations/vectorstores/annoy).
 
 ```python
 from langchain.vectorstores import Annoy

docs/extras/integrations/providers/apify.mdx

@@ -32,7 +32,7 @@ You can use the `ApifyWrapper` to run Actors on the Apify platform.
 from langchain.utilities import ApifyWrapper
 ```
 
-For a more detailed walkthrough of this wrapper, see [this notebook](/docs/modules/agents/tools/integrations/apify.html).
+For a more detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/apify.html).
 
 
 ### Loader
@@ -43,4 +43,4 @@ You can also use our `ApifyDatasetLoader` to get data from Apify dataset.
 from langchain.document_loaders import ApifyDatasetLoader
 ```
 
-For a more detailed walkthrough of this loader, see [this notebook](/docs/modules/data_connection/document_loaders/integrations/apify_dataset.html).
+For a more detailed walkthrough of this loader, see [this notebook](/docs/integrations/document_loaders/apify_dataset.html).

docs/extras/integrations/providers/arxiv.mdx

@@ -21,7 +21,7 @@ pip install pymupdf
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/arxiv.html).
+See a [usage example](/docs/integrations/document_loaders/arxiv).
 
 ```python
 from langchain.document_loaders import ArxivLoader
@@ -29,7 +29,7 @@ from langchain.document_loaders import ArxivLoader
 
 ## Retriever
 
-See a [usage example](/docs/modules/data_connection/retrievers/integrations/arxiv.html).
+See a [usage example](/docs/integrations/retrievers/arxiv).
 
 ```python
 from langchain.retrievers import ArxivRetriever

docs/extras/integrations/providers/atlas.mdx

@@ -24,4 +24,4 @@ To import this vectorstore:
 from langchain.vectorstores import AtlasDB
 ```
 
-For a more detailed walkthrough of the AtlasDB wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/atlas.html)
+For a more detailed walkthrough of the AtlasDB wrapper, see [this notebook](/docs/integrations/vectorstores/atlas.html)

docs/extras/integrations/providers/awadb.md

@@ -18,4 +18,4 @@ whether for semantic search or example selection.
 from langchain.vectorstores import AwaDB
 ```
 
-For a more detailed walkthrough of the AwaDB wrapper, see [here](/docs/modules/data_connection/vectorstores/integrations/awadb.html).
+For a more detailed walkthrough of the AwaDB wrapper, see [here](/docs/integrations/vectorstores/awadb.html).

docs/extras/integrations/providers/aws_s3.mdx

@@ -16,9 +16,9 @@ pip install boto3
 
 ## Document Loader
 
-See a [usage example for S3DirectoryLoader](/docs/modules/data_connection/document_loaders/integrations/aws_s3_directory.html).
+See a [usage example for S3DirectoryLoader](/docs/integrations/document_loaders/aws_s3_directory.html).
 
-See a [usage example for S3FileLoader](/docs/modules/data_connection/document_loaders/integrations/aws_s3_file.html).
+See a [usage example for S3FileLoader](/docs/integrations/document_loaders/aws_s3_file.html).
 
 ```python
 from langchain.document_loaders import S3DirectoryLoader, S3FileLoader

docs/extras/integrations/providers/azlyrics.mdx

@@ -9,7 +9,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/azlyrics.html).
+See a [usage example](/docs/integrations/document_loaders/azlyrics).
 
 ```python
 from langchain.document_loaders import AZLyricsLoader

docs/extras/integrations/providers/azure_blob_storage.mdx

@@ -23,13 +23,13 @@ pip install azure-storage-blob
 
 ## Document Loader
 
-See a [usage example for the Azure Blob Storage](/docs/modules/data_connection/document_loaders/integrations/azure_blob_storage_container.html).
+See a [usage example for the Azure Blob Storage](/docs/integrations/document_loaders/azure_blob_storage_container.html).
 
 ```python
 from langchain.document_loaders import AzureBlobStorageContainerLoader
 ```
 
-See a [usage example for the Azure Files](/docs/modules/data_connection/document_loaders/integrations/azure_blob_storage_file.html).
+See a [usage example for the Azure Files](/docs/integrations/document_loaders/azure_blob_storage_file.html).
 
 ```python
 from langchain.document_loaders import AzureBlobStorageFileLoader

docs/extras/integrations/providers/azure_cognitive_search_.mdx

@@ -17,7 +17,7 @@ See [set up instructions](https://learn.microsoft.com/en-us/azure/search/search-
 
 ## Retriever
 
-See a [usage example](/docs/modules/data_connection/retrievers/integrations/azure_cognitive_search.html).
+See a [usage example](/docs/integrations/retrievers/azure_cognitive_search).
 
 ```python
 from langchain.retrievers import AzureCognitiveSearchRetriever

docs/extras/integrations/providers/azure_openai.mdx

@@ -27,7 +27,7 @@ os.environ["OPENAI_API_VERSION"] = "2023-05-15"
 
 ## LLM
 
-See a [usage example](/docs/modules/model_io/models/llms/integrations/azure_openai_example.html).
+See a [usage example](/docs/integrations/llms/azure_openai_example).
 
 ```python
 from langchain.llms import AzureOpenAI
@@ -35,7 +35,7 @@ from langchain.llms import AzureOpenAI
 
 ## Text Embedding Models
 
-See a [usage example](/docs/modules/data_connection/text_embedding/integrations/azureopenai.html)
+See a [usage example](/docs/integrations/text_embedding/azureopenai)
 
 ```python
 from langchain.embeddings import OpenAIEmbeddings
@@ -43,7 +43,7 @@ from langchain.embeddings import OpenAIEmbeddings
 
 ## Chat Models
 
-See a [usage example](/docs/modules/model_io/models/chat/integrations/azure_chat_openai.html)
+See a [usage example](/docs/integrations/chat/azure_chat_openai)
 
 ```python
 from langchain.chat_models import AzureChatOpenAI

docs/extras/integrations/providers/bedrock.mdx

@@ -10,7 +10,7 @@ pip install boto3
 
 ## LLM
 
-See a [usage example](/docs/modules/model_io/models/llms/integrations/bedrock.html).
+See a [usage example](/docs/integrations/llms/bedrock).
 
 ```python
 from langchain import Bedrock
@@ -18,7 +18,7 @@ from langchain import Bedrock
 
 ## Text Embedding Models
 
-See a [usage example](/docs/modules/data_connection/text_embedding/integrations/bedrock.html).
+See a [usage example](/docs/integrations/text_embedding/bedrock).
 ```python
 from langchain.embeddings import BedrockEmbeddings
 ```

docs/extras/integrations/providers/bilibili.mdx

@@ -10,7 +10,7 @@ pip install bilibili-api-python
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/bilibili.html).
+See a [usage example](/docs/integrations/document_loaders/bilibili).
 
 ```python
 from langchain.document_loaders import BiliBiliLoader

docs/extras/integrations/providers/blackboard.mdx

@@ -14,7 +14,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/blackboard.html).
+See a [usage example](/docs/integrations/document_loaders/blackboard).
 
 ```python
 from langchain.document_loaders import BlackboardLoader

docs/extras/integrations/providers/brave_search.mdx

@@ -21,7 +21,7 @@ To get access to the Brave Search API, you need to [create an account and get an
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/brave_search.html).
+See a [usage example](/docs/integrations/document_loaders/brave_search).
 
 ```python
 from langchain.document_loaders import BraveSearchLoader
@@ -29,7 +29,7 @@ from langchain.document_loaders import BraveSearchLoader
 
 ## Tool
 
-See a [usage example](/docs/modules/agents/tools/integrations/brave_search.html).
+See a [usage example](/docs/integrations/tools/brave_search).
 
 ```python
 from langchain.tools import BraveSearch

docs/extras/integrations/providers/cassandra.mdx

@@ -18,7 +18,7 @@ pip install cassio
 
 ## Vector Store
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/cassandra.html).
+See a [usage example](/docs/integrations/vectorstores/cassandra).
 
 ```python
 from langchain.memory import CassandraChatMessageHistory
@@ -28,7 +28,7 @@ from langchain.memory import CassandraChatMessageHistory
 
 ## Memory
 
-See a [usage example](/docs/modules/memory/integrations/cassandra_chat_message_history.html).
+See a [usage example](/docs/modules/memory/integrations/cassandra_chat_message_history).
 
 ```python
 from langchain.memory import CassandraChatMessageHistory

docs/extras/integrations/providers/chaindesk.mdx

@@ -10,7 +10,7 @@ We need the [API Key](https://docs.chaindesk.ai/api-reference/authentication).
 
 ## Retriever
 
-See a [usage example](/docs/modules/data_connection/retrievers/integrations/chaindesk.html).
+See a [usage example](/docs/integrations/retrievers/chaindesk).
 
 ```python
 from langchain.retrievers import ChaindeskRetriever

docs/extras/integrations/providers/chroma.mdx

@@ -18,11 +18,11 @@ whether for semantic search or example selection.
 from langchain.vectorstores import Chroma
 ```
 
-For a more detailed walkthrough of the Chroma wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/chroma.html)
+For a more detailed walkthrough of the Chroma wrapper, see [this notebook](/docs/integrations/vectorstores/chroma.html)
 
 ## Retriever
 
-See a [usage example](/docs/modules/data_connection/retrievers/how_to/self_query/chroma_self_query.html).
+See a [usage example](/docs/modules/data_connection/retrievers/how_to/self_query/chroma_self_query).
 
 ```python
 from langchain.retrievers import SelfQueryRetriever

docs/extras/integrations/providers/clarifai.mdx

@@ -25,7 +25,7 @@ from langchain.llms import Clarifai
 llm = Clarifai(pat=CLARIFAI_PAT, user_id=USER_ID, app_id=APP_ID, model_id=MODEL_ID)
 ```
 
-For more details, the docs on the Clarifai LLM wrapper provide a [detailed walkthrough](/docs/modules/model_io/models/llms/integrations/clarifai.html).
+For more details, the docs on the Clarifai LLM wrapper provide a [detailed walkthrough](/docs/integrations/llms/clarifai.html).
 
 
 ### Text Embedding Models
@@ -37,7 +37,7 @@ There is a Clarifai Embedding model in LangChain, which you can access with:
 from langchain.embeddings import ClarifaiEmbeddings
 embeddings = ClarifaiEmbeddings(pat=CLARIFAI_PAT, user_id=USER_ID, app_id=APP_ID, model_id=MODEL_ID)
 ```
-For more details, the docs on the Clarifai Embeddings wrapper provide a [detailed walthrough](/docs/modules/data_connection/text_embedding/integrations/clarifai.html).
+For more details, the docs on the Clarifai Embeddings wrapper provide a [detailed walthrough](/docs/integrations/text_embedding/clarifai.html).
 
 ## Vectorstore
 
@@ -49,4 +49,4 @@ You an also add data directly from LangChain as well, and the auto-indexing will
 from langchain.vectorstores import Clarifai
 clarifai_vector_db = Clarifai.from_texts(user_id=USER_ID, app_id=APP_ID, texts=texts, pat=CLARIFAI_PAT, number_of_docs=NUMBER_OF_DOCS, metadatas = metadatas)
 ```
-For more details, the docs on the Clarifai vector store provide a [detailed walthrough](/docs/modules/data_connection/text_embedding/integrations/clarifai.html).
+For more details, the docs on the Clarifai vector store provide a [detailed walthrough](/docs/integrations/text_embedding/clarifai.html).

docs/extras/integrations/providers/cohere.mdx

@@ -15,7 +15,7 @@ Get a [Cohere api key](https://dashboard.cohere.ai/) and set it as an environmen
 ## LLM
 
 There exists an Cohere LLM wrapper, which you can access with 
-See a [usage example](/docs/modules/model_io/models/llms/integrations/cohere.html).
+See a [usage example](/docs/integrations/llms/cohere).
 
 ```python
 from langchain.llms import Cohere
@@ -27,11 +27,11 @@ There exists an Cohere Embedding model, which you can access with
 ```python
 from langchain.embeddings import CohereEmbeddings
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/cohere.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/cohere.html)
 
 ## Retriever
 
-See a [usage example](/docs/modules/data_connection/retrievers/integrations/cohere-reranker.html).
+See a [usage example](/docs/integrations/retrievers/cohere-reranker).
 
 ```python
 from langchain.retrievers.document_compressors import CohereRerank

docs/extras/integrations/providers/college_confidential.mdx

@@ -9,7 +9,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/college_confidential.html).
+See a [usage example](/docs/integrations/document_loaders/college_confidential).
 
 ```python
 from langchain.document_loaders import CollegeConfidentialLoader

docs/extras/integrations/providers/confluence.mdx

@@ -15,7 +15,7 @@ See [instructions](https://support.atlassian.com/atlassian-account/docs/manage-a
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/confluence.html).
+See a [usage example](/docs/integrations/document_loaders/confluence).
 
 ```python
 from langchain.document_loaders import ConfluenceLoader

docs/extras/integrations/providers/ctransformers.mdx

@@ -54,4 +54,4 @@ llm = CTransformers(model='marella/gpt-2-ggml', config=config)
 
 See [Documentation](https://github.com/marella/ctransformers#config) for a list of available parameters.
 
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/model_io/models/llms/integrations/ctransformers.html).
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/llms/ctransformers.html).

docs/extras/integrations/providers/datadog_logs.mdx

@@ -12,7 +12,7 @@ We must initialize the loader with the Datadog API key and APP key, and we need
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/datadog_logs.html).
+See a [usage example](/docs/integrations/document_loaders/datadog_logs).
 
 ```python
 from langchain.document_loaders import DatadogLogsLoader

docs/extras/integrations/providers/dataforseo.mdx

@@ -16,7 +16,7 @@ The DataForSEO utility wraps the API. To import this utility, use:
 from langchain.utilities import DataForSeoAPIWrapper
 ```
 
-For a detailed walkthrough of this wrapper, see [this notebook](/docs/modules/agents/tools/integrations/dataforseo.ipynb).
+For a detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/dataforseo.ipynb).
 
 ### Tool
 

docs/extras/integrations/providers/deeplake.mdx

@@ -27,4 +27,4 @@ from langchain.vectorstores import DeepLake
 ```
 
 
-For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/deeplake.html)
+For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](/docs/integrations/vectorstores/deeplake.html)

docs/extras/integrations/providers/diffbot.mdx

@@ -11,7 +11,7 @@ Read [instructions](https://docs.diffbot.com/reference/authentication) how to ge
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/diffbot.html).
+See a [usage example](/docs/integrations/document_loaders/diffbot).
 
 ```python
 from langchain.document_loaders import DiffbotLoader

docs/extras/integrations/providers/discord.mdx

@@ -23,7 +23,7 @@ with Discord. That email will have a download button using which you would be ab
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/discord.html).
+See a [usage example](/docs/integrations/document_loaders/discord).
 
 ```python
 from langchain.document_loaders import DiscordChatLoader

docs/extras/integrations/providers/docugami.mdx

@@ -13,7 +13,7 @@ pip install lxml
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/docugami.html).
+See a [usage example](/docs/integrations/document_loaders/docugami).
 
 ```python
 from langchain.document_loaders import DocugamiLoader

docs/extras/integrations/providers/duckdb.mdx

@@ -12,7 +12,7 @@ pip install duckdb
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/duckdb.html).
+See a [usage example](/docs/integrations/document_loaders/duckdb).
 
 ```python
 from langchain.document_loaders import DuckDBLoader

docs/extras/integrations/providers/elasticsearch.mdx

@@ -17,7 +17,7 @@ pip install elasticsearch
 
 >The name of the actual ranking function is BM25. The fuller name, Okapi BM25, includes the name of the first system to use it, which was the Okapi information retrieval system, implemented at London's City University in the 1980s and 1990s. BM25 and its newer variants, e.g. BM25F (a version of BM25 that can take document structure and anchor text into account), represent TF-IDF-like retrieval functions used in document retrieval.
 
-See a [usage example](/docs/modules/data_connection/retrievers/integrations/elastic_search_bm25.html).
+See a [usage example](/docs/integrations/retrievers/elastic_search_bm25).
 
 ```python
 from langchain.retrievers import ElasticSearchBM25Retriever

docs/extras/integrations/providers/evernote.mdx

@@ -13,7 +13,7 @@ pip install html2text
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/evernote.html).
+See a [usage example](/docs/integrations/document_loaders/evernote).
 
 ```python
 from langchain.document_loaders import EverNoteLoader

docs/extras/integrations/providers/facebook_chat.mdx

@@ -14,7 +14,7 @@ pip install pandas
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/facebook_chat.html).
+See a [usage example](/docs/integrations/document_loaders/facebook_chat).
 
 ```python
 from langchain.document_loaders import FacebookChatLoader

docs/extras/integrations/providers/figma.mdx

@@ -14,7 +14,7 @@ The `file key` can be pulled from the URL.  https://www.figma.com/file/{filekey}
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/figma.html).
+See a [usage example](/docs/integrations/document_loaders/figma).
 
 ```python
 from langchain.document_loaders import FigmaFileLoader

docs/extras/integrations/providers/git.mdx

@@ -12,7 +12,7 @@ pip install GitPython
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/git.html).
+See a [usage example](/docs/integrations/document_loaders/git).
 
 ```python
 from langchain.document_loaders import GitLoader

docs/extras/integrations/providers/gitbook.mdx

@@ -8,7 +8,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/gitbook.html).
+See a [usage example](/docs/integrations/document_loaders/gitbook).
 
 ```python
 from langchain.document_loaders import GitbookLoader

docs/extras/integrations/providers/golden.mdx

@@ -20,7 +20,7 @@ There exists a GoldenQueryAPIWrapper utility which wraps this API. To import thi
 from langchain.utilities.golden_query import GoldenQueryAPIWrapper
 ```
 
-For a more detailed walkthrough of this wrapper, see [this notebook](/docs/modules/agents/tools/integrations/golden_query.html).
+For a more detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/golden_query.html).
 
 ### Tool
 

docs/extras/integrations/providers/google_bigquery.mdx

@@ -13,7 +13,7 @@ pip install google-cloud-bigquery
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/google_bigquery.html).
+See a [usage example](/docs/integrations/document_loaders/google_bigquery).
 
 ```python
 from langchain.document_loaders import BigQueryLoader

docs/extras/integrations/providers/google_cloud_storage.mdx

@@ -14,12 +14,12 @@ pip install google-cloud-storage
 
 There are two loaders for the `Google Cloud Storage`: the `Directory` and the `File` loaders.
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/google_cloud_storage_directory.html).
+See a [usage example](/docs/integrations/document_loaders/google_cloud_storage_directory).
 
 ```python
 from langchain.document_loaders import GCSDirectoryLoader
 ```
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/google_cloud_storage_file.html).
+See a [usage example](/docs/integrations/document_loaders/google_cloud_storage_file).
 
 ```python
 from langchain.document_loaders import GCSFileLoader

docs/extras/integrations/providers/google_drive.mdx

@@ -14,7 +14,7 @@ pip install google-api-python-client google-auth-httplib2 google-auth-oauthlib
 
 ## Document Loader
 
-See a [usage example and authorizing instructions](/docs/modules/data_connection/document_loaders/integrations/google_drive.html).
+See a [usage example and authorizing instructions](/docs/integrations/document_loaders/google_drive.html).
 
 
 ```python

docs/extras/integrations/providers/google_search.mdx

@@ -18,7 +18,7 @@ There exists a GoogleSearchAPIWrapper utility which wraps this API. To import th
 from langchain.utilities import GoogleSearchAPIWrapper
 ```
 
-For a more detailed walkthrough of this wrapper, see [this notebook](/docs/modules/agents/tools/integrations/google_search.html).
+For a more detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/google_search.html).
 
 ### Tool
 

docs/extras/integrations/providers/google_serper.mdx

@@ -59,7 +59,7 @@ So the final answer is: El Palmar, Spain
 'El Palmar, Spain'
 ```
 
-For a more detailed walkthrough of this wrapper, see [this notebook](/docs/modules/agents/tools/integrations/google_serper.html).
+For a more detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/google_serper.html).
 
 ### Tool
 

docs/extras/integrations/providers/gpt4all.mdx

@@ -45,4 +45,4 @@ model("Once upon a time, ", callbacks=callbacks)
 
 You can find links to model file downloads in the [pyllamacpp](https://github.com/nomic-ai/pyllamacpp) repository.
 
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/model_io/models/llms/integrations/gpt4all.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/llms/gpt4all.html)

docs/extras/integrations/providers/gutenberg.mdx

@@ -8,7 +8,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/gutenberg.html).
+See a [usage example](/docs/integrations/document_loaders/gutenberg).
 
 ```python
 from langchain.document_loaders import GutenbergLoader

docs/extras/integrations/providers/hacker_news.mdx

@@ -11,7 +11,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/hacker_news.html).
+See a [usage example](/docs/integrations/document_loaders/hacker_news).
 
 ```python
 from langchain.document_loaders import HNLoader

docs/extras/integrations/providers/hologres.mdx

@@ -16,7 +16,7 @@ pip install psycopg2
 
 ## Vector Store
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/hologres.html).
+See a [usage example](/docs/integrations/vectorstores/hologres).
 
 ```python
 from langchain.vectorstores import Hologres

docs/extras/integrations/providers/huggingface.mdx

@@ -30,7 +30,7 @@ To use a the wrapper for a model hosted on Hugging Face Hub:
 ```python
 from langchain.llms import HuggingFaceHub
 ```
-For a more detailed walkthrough of the Hugging Face Hub wrapper, see [this notebook](/docs/modules/model_io/models/llms/integrations/huggingface_hub.html)
+For a more detailed walkthrough of the Hugging Face Hub wrapper, see [this notebook](/docs/integrations/llms/huggingface_hub.html)
 
 
 ### Embeddings
@@ -47,7 +47,7 @@ To use a the wrapper for a model hosted on Hugging Face Hub:
 ```python
 from langchain.embeddings import HuggingFaceHubEmbeddings
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/huggingfacehub.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/huggingfacehub.html)
 
 ### Tokenizer
 

docs/extras/integrations/providers/ifixit.mdx

@@ -9,7 +9,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/ifixit.html).
+See a [usage example](/docs/integrations/document_loaders/ifixit).
 
 ```python
 from langchain.document_loaders import IFixitLoader

docs/extras/integrations/providers/imsdb.mdx

@@ -8,7 +8,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/imsdb.html).
+See a [usage example](/docs/integrations/document_loaders/imsdb).
 
 
 ```python

docs/extras/integrations/providers/jina.mdx

@@ -15,7 +15,7 @@ There exists a Jina Embeddings wrapper, which you can access with
 ```python
 from langchain.embeddings import JinaEmbeddings
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/jina.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/jina.html)
 
 ## Deployment
 

docs/extras/integrations/providers/lancedb.mdx

@@ -20,4 +20,4 @@ To import this vectorstore:
 from langchain.vectorstores import LanceDB
 ```
 
-For a more detailed walkthrough of the LanceDB wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/lancedb.html)
+For a more detailed walkthrough of the LanceDB wrapper, see [this notebook](/docs/integrations/vectorstores/lancedb.html)

docs/extras/integrations/providers/llamacpp.mdx

@@ -15,7 +15,7 @@ There exists a LlamaCpp LLM wrapper, which you can access with
 ```python
 from langchain.llms import LlamaCpp
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/model_io/models/llms/integrations/llamacpp.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/llms/llamacpp.html)
 
 ### Embeddings
 
@@ -23,4 +23,4 @@ There exists a LlamaCpp Embeddings wrapper, which you can access with
 ```python
 from langchain.embeddings import LlamaCppEmbeddings
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/llamacpp.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/llamacpp.html)

docs/extras/integrations/providers/marqo.md

@@ -28,4 +28,4 @@ To import this vectorstore:
 from langchain.vectorstores import Marqo
 ```
 
-For a more detailed walkthrough of the Marqo wrapper and some of its unique features, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/marqo.html)
+For a more detailed walkthrough of the Marqo wrapper and some of its unique features, see [this notebook](/docs/integrations/vectorstores/marqo.html)

docs/extras/integrations/providers/mediawikidump.mdx

@@ -23,7 +23,7 @@ pip install -qU mwparserfromhell
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/mediawikidump.html).
+See a [usage example](/docs/integrations/document_loaders/mediawikidump).
 
 
 ```python

docs/extras/integrations/providers/microsoft_onedrive.mdx

@@ -10,11 +10,11 @@ First, you need to install a python package.
 pip install o365
 ```
 
-Then follow instructions [here](/docs/modules/data_connection/document_loaders/integrations/microsoft_onedrive.html).
+Then follow instructions [here](/docs/integrations/document_loaders/microsoft_onedrive.html).
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/microsoft_onedrive.html).
+See a [usage example](/docs/integrations/document_loaders/microsoft_onedrive).
 
 
 ```python

docs/extras/integrations/providers/microsoft_powerpoint.mdx

@@ -8,7 +8,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint.html).
+See a [usage example](/docs/integrations/document_loaders/microsoft_powerpoint).
 
 
 ```python

docs/extras/integrations/providers/microsoft_word.mdx

@@ -8,7 +8,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/microsoft_word.html).
+See a [usage example](/docs/integrations/document_loaders/microsoft_word).
 
 
 ```python

docs/extras/integrations/providers/milvus.mdx

@@ -17,4 +17,4 @@ To import this vectorstore:
 from langchain.vectorstores import Milvus
 ```
 
-For a more detailed walkthrough of the Miluvs wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/milvus.html)
+For a more detailed walkthrough of the Miluvs wrapper, see [this notebook](/docs/integrations/vectorstores/milvus.html)

docs/extras/integrations/providers/modelscope.mdx

@@ -17,4 +17,4 @@ There exists a modelscope Embeddings wrapper, which you can access with
 from langchain.embeddings import ModelScopeEmbeddings
 ```
 
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/modelscope_hub.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/modelscope_hub.html)

docs/extras/integrations/providers/modern_treasury.mdx

@@ -11,7 +11,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/modern_treasury.html).
+See a [usage example](/docs/integrations/document_loaders/modern_treasury).
 
 
 ```python

docs/extras/integrations/providers/myscale.mdx

@@ -62,4 +62,4 @@ To import this vectorstore:
 from langchain.vectorstores import MyScale
 ```
 
-For a more detailed walkthrough of the MyScale wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/myscale.html)
+For a more detailed walkthrough of the MyScale wrapper, see [this notebook](/docs/integrations/vectorstores/myscale.html)

docs/extras/integrations/providers/notion.mdx

@@ -12,14 +12,14 @@ All instructions are in examples below.
 
 We have two different loaders: `NotionDirectoryLoader` and `NotionDBLoader`.
 
-See a [usage example for the NotionDirectoryLoader](/docs/modules/data_connection/document_loaders/integrations/notion.html).
+See a [usage example for the NotionDirectoryLoader](/docs/integrations/document_loaders/notion.html).
 
 
 ```python
 from langchain.document_loaders import NotionDirectoryLoader
 ```
 
-See a [usage example for the NotionDBLoader](/docs/modules/data_connection/document_loaders/integrations/notiondb.html).
+See a [usage example for the NotionDBLoader](/docs/integrations/document_loaders/notiondb.html).
 
 
 ```python

docs/extras/integrations/providers/obsidian.mdx

@@ -10,7 +10,7 @@ All instructions are in examples below.
 ## Document Loader
 
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/obsidian.html).
+See a [usage example](/docs/integrations/document_loaders/obsidian).
 
 
 ```python

docs/extras/integrations/providers/openai.mdx

@@ -32,7 +32,7 @@ If you are using a model hosted on `Azure`, you should use different wrapper for
 ```python
 from langchain.llms import AzureOpenAI
 ```
-For a more detailed walkthrough of the `Azure` wrapper, see [this notebook](/docs/modules/model_io/models/llms/integrations/azure_openai_example.html)
+For a more detailed walkthrough of the `Azure` wrapper, see [this notebook](/docs/integrations/llms/azure_openai_example.html)
 
 
 
@@ -41,7 +41,7 @@ For a more detailed walkthrough of the `Azure` wrapper, see [this notebook](/doc
 ```python
 from langchain.embeddings import OpenAIEmbeddings
 ```
-For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/openai.html)
+For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/openai.html)
 
 
 ## Tokenizer
@@ -58,7 +58,7 @@ For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_
 
 ## Chain
 
-See a [usage example](/docs/modules/chains/additional/moderation.html).
+See a [usage example](/docs/modules/chains/additional/moderation).
 
 ```python
 from langchain.chains import OpenAIModerationChain
@@ -66,7 +66,7 @@ from langchain.chains import OpenAIModerationChain
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/chatgpt_loader.html).
+See a [usage example](/docs/integrations/document_loaders/chatgpt_loader).
 
 ```python
 from langchain.document_loaders.chatgpt import ChatGPTLoader
@@ -74,7 +74,7 @@ from langchain.document_loaders.chatgpt import ChatGPTLoader
 
 ## Retriever
 
-See a [usage example](/docs/modules/data_connection/retrievers/integrations/chatgpt-plugin.html).
+See a [usage example](/docs/integrations/retrievers/chatgpt-plugin).
 
 ```python
 from langchain.retrievers import ChatGPTPluginRetriever

docs/extras/integrations/providers/openllm.mdx

@@ -67,4 +67,4 @@ llm("What is the difference between a duck and a goose? And why there are so man
 ### Usage
 
 For a more detailed walkthrough of the OpenLLM Wrapper, see the
-[example notebook](/docs/modules/model_io/models/llms/integrations/openllm.html)
+[example notebook](/docs/integrations/llms/openllm.html)

docs/extras/integrations/providers/opensearch.mdx

@@ -18,4 +18,4 @@ To import this vectorstore:
 from langchain.vectorstores import OpenSearchVectorSearch
 ```
 
-For a more detailed walkthrough of the OpenSearch wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/opensearch.html)
+For a more detailed walkthrough of the OpenSearch wrapper, see [this notebook](/docs/integrations/vectorstores/opensearch.html)

docs/extras/integrations/providers/openweathermap.mdx

@@ -29,7 +29,7 @@ There exists a OpenWeatherMapAPIWrapper utility which wraps this API. To import
 from langchain.utilities.openweathermap import OpenWeatherMapAPIWrapper
 ```
 
-For a more detailed walkthrough of this wrapper, see [this notebook](/docs/modules/agents/tools/integrations/openweathermap.html).
+For a more detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/openweathermap.html).
 
 ### Tool
 

docs/extras/integrations/providers/pgvector.mdx

@@ -26,4 +26,4 @@ from langchain.vectorstores.pgvector import PGVector
 
 ### Usage
 
-For a more detailed walkthrough of the PGVector Wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/pgvector.html)
+For a more detailed walkthrough of the PGVector Wrapper, see [this notebook](/docs/integrations/vectorstores/pgvector.html)

docs/extras/integrations/providers/pinecone.mdx

@@ -19,4 +19,4 @@ whether for semantic search or example selection.
 from langchain.vectorstores import Pinecone
 ```
 
-For a more detailed walkthrough of the Pinecone vectorstore, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/pinecone.html)
+For a more detailed walkthrough of the Pinecone vectorstore, see [this notebook](/docs/integrations/vectorstores/pinecone.html)

docs/extras/integrations/providers/promptlayer.mdx

@@ -46,4 +46,4 @@ This LLM is identical to the [OpenAI](/docs/ecosystem/integrations/openai.html)
 - you can add `return_pl_id` when instantializing to return a PromptLayer request id to use [while tracking requests](https://magniv.notion.site/Track-4deee1b1f7a34c1680d085f82567dab9).
 
 
-PromptLayer also provides native wrappers for [`PromptLayerChatOpenAI`](/docs/modules/model_io/models/chat/integrations/promptlayer_chatopenai.html) and `PromptLayerOpenAIChat`
+PromptLayer also provides native wrappers for [`PromptLayerChatOpenAI`](/docs/integrations/chat/promptlayer_chatopenai.html) and `PromptLayerOpenAIChat`

docs/extras/integrations/providers/psychic.mdx

@@ -16,7 +16,7 @@ view these connections from the dashboard and retrieve data using the server-sid
  
 1. Create an account in the [dashboard](https://dashboard.psychic.dev/).
 2. Use the [react library](https://docs.psychic.dev/sidekick-link) to add the Psychic link modal to your frontend react app. You will use this to connect the SaaS apps.
-3. Once you have created a connection, you can use the `PsychicLoader` by following the [example notebook](/docs/modules/data_connection/document_loaders/integrations/psychic.html)
+3. Once you have created a connection, you can use the `PsychicLoader` by following the [example notebook](/docs/integrations/document_loaders/psychic.html)
 
 
 ## Advantages vs Other Document Loaders

docs/extras/integrations/providers/qdrant.mdx

@@ -17,4 +17,4 @@ To import this vectorstore:
 from langchain.vectorstores import Qdrant
 ```
 
-For a more detailed walkthrough of the Qdrant wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/qdrant.html)
+For a more detailed walkthrough of the Qdrant wrapper, see [this notebook](/docs/integrations/vectorstores/qdrant.html)

docs/extras/integrations/providers/reddit.mdx

@@ -14,7 +14,7 @@ Make a [Reddit Application](https://www.reddit.com/prefs/apps/) and initialize t
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/reddit.html).
+See a [usage example](/docs/integrations/document_loaders/reddit).
 
 
 ```python

docs/extras/integrations/providers/redis.mdx

@@ -92,7 +92,7 @@ To import this vectorstore:
 from langchain.vectorstores import Redis
 ```
 
-For a more detailed walkthrough of the Redis vectorstore wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/redis.html).
+For a more detailed walkthrough of the Redis vectorstore wrapper, see [this notebook](/docs/integrations/vectorstores/redis.html).
 
 ### Retriever
 

docs/extras/integrations/providers/roam.mdx

@@ -10,7 +10,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/roam.html).
+See a [usage example](/docs/integrations/document_loaders/roam).
 
 ```python
 from langchain.document_loaders import RoamLoader

docs/extras/integrations/providers/rockset.mdx

@@ -12,7 +12,7 @@ pip install rockset
 
 ## Vector Store
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/rockset.html).
+See a [usage example](/docs/integrations/vectorstores/rockset).
 
 ```python
 from langchain.vectorstores import RocksetDB

docs/extras/integrations/providers/runhouse.mdx

@@ -15,7 +15,7 @@ custom LLMs, you can use the `SelfHostedPipeline` parent class.
 from langchain.llms import SelfHostedPipeline, SelfHostedHuggingFaceLLM
 ```
 
-For a more detailed walkthrough of the Self-hosted LLMs, see [this notebook](/docs/modules/model_io/models/llms/integrations/runhouse.html)
+For a more detailed walkthrough of the Self-hosted LLMs, see [this notebook](/docs/integrations/llms/runhouse.html)
 
 ## Self-hosted Embeddings
 There are several ways to use self-hosted embeddings with LangChain via Runhouse.
@@ -26,4 +26,4 @@ the `SelfHostedEmbedding` class.
 from langchain.llms import SelfHostedPipeline, SelfHostedHuggingFaceLLM
 ```
 
-For a more detailed walkthrough of the Self-hosted Embeddings, see [this notebook](/docs/modules/data_connection/text_embedding/integrations/self-hosted.html)
+For a more detailed walkthrough of the Self-hosted Embeddings, see [this notebook](/docs/integrations/text_embedding/self-hosted.html)

docs/extras/integrations/providers/sagemaker_endpoint.mdx

@@ -40,7 +40,7 @@ We have to set up following required parameters of the `SagemakerEndpoint` call:
 
 ## LLM
 
-See a [usage example](/docs/modules/model_io/models/llms/integrations/sagemaker.html).
+See a [usage example](/docs/integrations/llms/sagemaker).
 
 ```python
 from langchain import SagemakerEndpoint
@@ -49,7 +49,7 @@ from langchain.llms.sagemaker_endpoint import LLMContentHandler
 
 ## Text Embedding Models
 
-See a [usage example](/docs/modules/data_connection/text_embedding/integrations/sagemaker-endpoint.html).
+See a [usage example](/docs/integrations/text_embedding/sagemaker-endpoint).
 ```python
 from langchain.embeddings import SagemakerEndpointEmbeddings
 from langchain.llms.sagemaker_endpoint import ContentHandlerBase

docs/extras/integrations/providers/serpapi.mdx

@@ -17,7 +17,7 @@ There exists a SerpAPI utility which wraps this API. To import this utility:
 from langchain.utilities import SerpAPIWrapper
 ```
 
-For a more detailed walkthrough of this wrapper, see [this notebook](/docs/modules/agents/tools/integrations/serpapi.html).
+For a more detailed walkthrough of this wrapper, see [this notebook](/docs/integrations/tools/serpapi.html).
 
 ### Tool
 

docs/extras/integrations/providers/singlestoredb.mdx

@@ -13,7 +13,7 @@ pip install singlestoredb
 
 ## Vector Store
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/singlestoredb.html).
+See a [usage example](/docs/integrations/vectorstores/singlestoredb).
 
 ```python
 from langchain.vectorstores import SingleStoreDB

docs/extras/integrations/providers/sklearn.mdx

@@ -19,4 +19,4 @@ To import this vectorstore:
 from langchain.vectorstores import SKLearnVectorStore
 ```
 
-For a more detailed walkthrough of the SKLearnVectorStore wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/sklearn.html).
+For a more detailed walkthrough of the SKLearnVectorStore wrapper, see [this notebook](/docs/integrations/vectorstores/sklearn.html).

docs/extras/integrations/providers/slack.mdx

@@ -10,7 +10,7 @@ There isn't any special setup for it.
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/slack.html).
+See a [usage example](/docs/integrations/document_loaders/slack).
 
 ```python
 from langchain.document_loaders import SlackDirectoryLoader

docs/extras/integrations/providers/spreedly.mdx

@@ -4,11 +4,11 @@
  
 ## Installation and Setup
 
-See [setup instructions](/docs/modules/data_connection/document_loaders/integrations/spreedly.html).
+See [setup instructions](/docs/integrations/document_loaders/spreedly.html).
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/spreedly.html).
+See a [usage example](/docs/integrations/document_loaders/spreedly).
 
 ```python
 from langchain.document_loaders import SpreedlyLoader

docs/extras/integrations/providers/starrocks.mdx

@@ -14,7 +14,7 @@ pip install pymysql
 
 ## Vector Store
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/starrocks.html).
+See a [usage example](/docs/integrations/vectorstores/starrocks).
 
 ```python
 from langchain.vectorstores import StarRocks

docs/extras/integrations/providers/stripe.mdx

@@ -5,11 +5,11 @@
 
 ## Installation and Setup
 
-See [setup instructions](/docs/modules/data_connection/document_loaders/integrations/stripe.html).
+See [setup instructions](/docs/integrations/document_loaders/stripe.html).
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/stripe.html).
+See a [usage example](/docs/integrations/document_loaders/stripe).
 
 ```python
 from langchain.document_loaders import StripeLoader

docs/extras/integrations/providers/tair.mdx

@@ -19,4 +19,4 @@ To import this vectorstore:
 from langchain.vectorstores import Tair
 ```
 
-For a more detailed walkthrough of the Tair wrapper, see [this notebook](/docs/modules/data_connection/vectorstores/integrations/tair.html)
+For a more detailed walkthrough of the Tair wrapper, see [this notebook](/docs/integrations/vectorstores/tair.html)

docs/extras/integrations/providers/telegram.mdx

@@ -5,11 +5,11 @@
 
 ## Installation and Setup
 
-See [setup instructions](/docs/modules/data_connection/document_loaders/integrations/telegram.html).
+See [setup instructions](/docs/integrations/document_loaders/telegram.html).
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/telegram.html).
+See a [usage example](/docs/integrations/document_loaders/telegram).
 
 ```python
 from langchain.document_loaders import TelegramChatFileLoader

docs/extras/integrations/providers/tigris.mdx

@@ -12,7 +12,7 @@ pip install tigrisdb openapi-schema-pydantic openai tiktoken
 
 ## Vector Store
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/tigris.html).
+See a [usage example](/docs/integrations/vectorstores/tigris).
 
 ```python
 from langchain.vectorstores import Tigris

docs/extras/integrations/providers/tomarkdown.mdx

@@ -9,7 +9,7 @@ We need the `API key`. See [instructions how to get it](https://2markdown.com/lo
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/tomarkdown.html).
+See a [usage example](/docs/integrations/document_loaders/tomarkdown).
 
 ```python
 from langchain.document_loaders import ToMarkdownLoader

docs/extras/integrations/providers/trello.mdx

@@ -10,12 +10,12 @@
 pip install py-trello beautifulsoup4
 ```
 
-See [setup instructions](/docs/modules/data_connection/document_loaders/integrations/trello.html).
+See [setup instructions](/docs/integrations/document_loaders/trello.html).
 
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/trello.html).
+See a [usage example](/docs/integrations/document_loaders/trello).
 
 ```python
 from langchain.document_loaders import TrelloLoader

docs/extras/integrations/providers/twitter.mdx

@@ -14,7 +14,7 @@ We must initialize the loader with the `Twitter API` token, and we need to set u
 
 ## Document Loader
 
-See a [usage example](/docs/modules/data_connection/document_loaders/integrations/twitter.html).
+See a [usage example](/docs/integrations/document_loaders/twitter).
 
 ```python
 from langchain.document_loaders import TwitterTweetLoader

docs/extras/integrations/providers/typesense.mdx

@@ -15,7 +15,7 @@ pip install typesense openapi-schema-pydantic openai tiktoken
 
 ## Vector Store
 
-See a [usage example](/docs/modules/data_connection/vectorstores/integrations/typesense.html).
+See a [usage example](/docs/integrations/vectorstores/typesense).
 
 ```python
 from langchain.vectorstores import Typesense