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docs: platforms -> providers (#27285)

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2
README.md
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@ -38,7 +38,7 @@ conda install langchain -c conda-forge
For these applications, LangChain simplifies the entire application lifecycle: For these applications, LangChain simplifies the entire application lifecycle:
- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel), [components](https://python.langchain.com/docs/concepts/), and [third-party integrations](https://python.langchain.com/docs/integrations/platforms/). - **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel), [components](https://python.langchain.com/docs/concepts/), and [third-party integrations](https://python.langchain.com/docs/integrations/providers/).
Use [LangGraph](https://langchain-ai.github.io/langgraph/) to build stateful agents with first-class streaming and human-in-the-loop support. Use [LangGraph](https://langchain-ai.github.io/langgraph/) to build stateful agents with first-class streaming and human-in-the-loop support.
- **Productionization**: Inspect, monitor, and evaluate your apps with [LangSmith](https://docs.smith.langchain.com/) so that you can constantly optimize and deploy with confidence. - **Productionization**: Inspect, monitor, and evaluate your apps with [LangSmith](https://docs.smith.langchain.com/) so that you can constantly optimize and deploy with confidence.
- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/). - **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).

2
docs/Makefile
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@ -18,7 +18,7 @@ for dir; do \
if find "$$dir" -maxdepth 1 -type f \( -name "pyproject.toml" -o -name "setup.py" \) | grep -q .; then \ if find "$$dir" -maxdepth 1 -type f \( -name "pyproject.toml" -o -name "setup.py" \) | grep -q .; then \
echo "$$dir"; \ echo "$$dir"; \
fi \ fi \
done' sh {} + | grep -vE "airbyte|ibm|couchbase|databricks" | tr '\n' ' ') done' sh {} + | grep -vE "airbyte|ibm|databricks" | tr '\n' ' ')
PORT ?= 3001 PORT ?= 3001

2
docs/api_reference/guide_imports.json
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2
docs/docs/how_to/convert_runnable_to_tool.ipynb
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@ -21,7 +21,7 @@
"\n", "\n",
"## Dependencies\n", "## Dependencies\n",
"\n", "\n",
"**Note**: this guide requires `langchain-core` >= 0.2.13. We will also use [OpenAI](/docs/integrations/platforms/openai/) for embeddings, but any LangChain embeddings should suffice. We will use a simple [LangGraph](https://langchain-ai.github.io/langgraph/) agent for demonstration purposes." "**Note**: this guide requires `langchain-core` >= 0.2.13. We will also use [OpenAI](/docs/integrations/providers/openai/) for embeddings, but any LangChain embeddings should suffice. We will use a simple [LangGraph](https://langchain-ai.github.io/langgraph/) agent for demonstration purposes."
] ]
}, },
{ {

2
docs/docs/how_to/installation.mdx
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@ -50,7 +50,7 @@ pip install langchain-core
### Integration packages ### Integration packages
Certain integrations like OpenAI and Anthropic have their own packages. Certain integrations like OpenAI and Anthropic have their own packages.
Any integrations that require their own package will be documented as such in the [Integration docs](/docs/integrations/platforms/). Any integrations that require their own package will be documented as such in the [Integration docs](/docs/integrations/providers/).
You can see a list of all integration packages in the [API reference](https://api.python.langchain.com) under the "Partner libs" dropdown. You can see a list of all integration packages in the [API reference](https://api.python.langchain.com) under the "Partner libs" dropdown.
To install one of these run: To install one of these run:

0
docs/docs/integrations/platforms/anthropic.mdx → docs/docs/integrations/providers/anthropic.mdx
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0
docs/docs/integrations/platforms/aws.mdx → docs/docs/integrations/providers/aws.mdx
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2
docs/docs/integrations/providers/databricks.md
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@ -113,7 +113,7 @@ See [Databricks SQL Agent](https://docs.databricks.com/en/large-language-models/
Open Models Open Models
----------- -----------
To directly integrate Databricks's open models hosted on HuggingFace, you can use the [HuggingFace Integration](/docs/integrations/platforms/huggingface) of LangChain. To directly integrate Databricks's open models hosted on HuggingFace, you can use the [HuggingFace Integration](/docs/integrations/providers/huggingface) of LangChain.
``` ```
from langchain_huggingface import HuggingFaceEndpoint from langchain_huggingface import HuggingFaceEndpoint

0
docs/docs/integrations/platforms/google.mdx → docs/docs/integrations/providers/google.mdx
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0
docs/docs/integrations/platforms/huggingface.mdx → docs/docs/integrations/providers/huggingface.mdx
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0
docs/docs/integrations/platforms/microsoft.mdx → docs/docs/integrations/providers/microsoft.mdx
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0
docs/docs/integrations/platforms/openai.mdx → docs/docs/integrations/providers/openai.mdx
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2
docs/docs/integrations/text_embedding/google_vertex_ai_palm.ipynb
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@ -25,7 +25,7 @@
"\n", "\n",
"| Provider | Package |\n", "| Provider | Package |\n",
"|:--------:|:-------:|\n", "|:--------:|:-------:|\n",
"| [Google](https://python.langchain.com/docs/integrations/platforms/google/) | [langchain-google-vertexai](https://python.langchain.com/api_reference/google_vertexai/embeddings/langchain_google_vertexai.embeddings.VertexAIEmbeddings.html) |\n", "| [Google](https://python.langchain.com/docs/integrations/providers/google/) | [langchain-google-vertexai](https://python.langchain.com/api_reference/google_vertexai/embeddings/langchain_google_vertexai.embeddings.VertexAIEmbeddings.html) |\n",
"\n", "\n",
"## Setup\n", "## Setup\n",
"\n", "\n",

2
docs/docs/introduction.mdx
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@ -8,7 +8,7 @@ sidebar_class_name: hidden
**LangChain** is a framework for developing applications powered by large language models (LLMs). **LangChain** is a framework for developing applications powered by large language models (LLMs).
LangChain simplifies every stage of the LLM application lifecycle: LangChain simplifies every stage of the LLM application lifecycle:
- **Development**: Build your applications using LangChain's open-source [building blocks](/docs/concepts#langchain-expression-language-lcel), [components](/docs/concepts), and [third-party integrations](/docs/integrations/platforms/). - **Development**: Build your applications using LangChain's open-source [building blocks](/docs/concepts#langchain-expression-language-lcel), [components](/docs/concepts), and [third-party integrations](/docs/integrations/providers/).
Use [LangGraph](/docs/concepts/#langgraph) to build stateful agents with first-class streaming and human-in-the-loop support. Use [LangGraph](/docs/concepts/#langgraph) to build stateful agents with first-class streaming and human-in-the-loop support.
- **Productionization**: Use [LangSmith](https://docs.smith.langchain.com/) to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence. - **Productionization**: Use [LangSmith](https://docs.smith.langchain.com/) to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/). - **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).

2
docs/docs/versions/v0_2/overview.mdx
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@ -17,7 +17,7 @@ The following features have been added during the development of 0.1.x:
- Include response metadata in `AIMessage` to make it easy to access raw output from the underlying models - Include response metadata in `AIMessage` to make it easy to access raw output from the underlying models
- Tooling to visualize [your runnables](https://python.langchain.com/docs/expression_language/how_to/inspect/) or [your langgraph app](https://github.com/langchain-ai/langgraph/blob/main/examples/visualization.ipynb) - Tooling to visualize [your runnables](https://python.langchain.com/docs/expression_language/how_to/inspect/) or [your langgraph app](https://github.com/langchain-ai/langgraph/blob/main/examples/visualization.ipynb)
- Interoperability of chat message histories across most providers - Interoperability of chat message histories across most providers
- [Over 20+ partner packages in python](https://python.langchain.com/docs/integrations/platforms/) for popular integrations - [Over 20+ partner packages in python](https://python.langchain.com/docs/integrations/providers/) for popular integrations
## What’s coming to LangChain? ## What’s coming to LangChain?

18
docs/scripts/partner_pkg_table.py
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@ -8,7 +8,7 @@ DOCS_DIR = Path(__file__).parents[1]
PLATFORMS = { PLATFORMS = {
path.split("/")[-1][:-4] path.split("/")[-1][:-4]
for path in glob.glob( for path in glob.glob(
str(DOCS_DIR) + "/docs/integrations/platforms/*.mdx", recursive=True str(DOCS_DIR) + "/docs/integrations/providers/*.mdx", recursive=True
) )
} }
EXTERNAL_PACKAGES = { EXTERNAL_PACKAGES = {
@ -71,15 +71,15 @@ CUSTOM_NAME = {
"airbyte": "Airbyte", "airbyte": "Airbyte",
} }
CUSTOM_PROVIDER_PAGES = { CUSTOM_PROVIDER_PAGES = {
"azure-dynamic-sessions": "/docs/integrations/platforms/microsoft/", "azure-dynamic-sessions": "/docs/integrations/providers/microsoft/",
"google-community": "/docs/integrations/platforms/google/", "google-community": "/docs/integrations/providers/google/",
"google-genai": "/docs/integrations/platforms/google/", "google-genai": "/docs/integrations/providers/google/",
"google-vertexai": "/docs/integrations/platforms/google/", "google-vertexai": "/docs/integrations/providers/google/",
"nvidia-ai-endpoints": "/docs/integrations/providers/nvidia/", "nvidia-ai-endpoints": "/docs/integrations/providers/nvidia/",
"exa": "/docs/integrations/providers/exa_search/", "exa": "/docs/integrations/providers/exa_search/",
"mongodb": "/docs/integrations/providers/mongodb_atlas/", "mongodb": "/docs/integrations/providers/mongodb_atlas/",
} }
PLATFORM_PAGES = {name: f"/docs/integrations/platforms/{name}/" for name in PLATFORMS} PLATFORM_PAGES = {name: f"/docs/integrations/providers/{name}/" for name in PLATFORMS}
PROVIDER_PAGES = { PROVIDER_PAGES = {
name: f"/docs/integrations/providers/{name}/" name: f"/docs/integrations/providers/{name}/"
for name in ALL_PACKAGES for name in ALL_PACKAGES
@ -104,7 +104,7 @@ def package_row(name: str) -> str:
def table() -> str: def table() -> str:
header = """| Provider | Package | Downloads | Latest | [JS](https://js.langchain.com/docs/integrations/platforms/) | header = """| Provider | Package | Downloads | Latest | [JS](https://js.langchain.com/docs/integrations/providers/) |
| :--- | :---: | :---: | :---: | :---: | | :--- | :---: | :---: | :---: | :---: |
""" """
return header + "\n".join(package_row(name) for name in sorted(ALL_PACKAGES)) return header + "\n".join(package_row(name) for name in sorted(ALL_PACKAGES))
@ -136,12 +136,12 @@ These providers have standalone `langchain-{{provider}}` packages for improved v
## All Providers ## All Providers
Click [here](/docs/integrations/providers/) to see all providers. Click [here](/docs/integrations/providers/all) to see all providers.
""" """
if __name__ == "__main__": if __name__ == "__main__":
output_dir = Path(sys.argv[1]) / "integrations" / "platforms" output_dir = Path(sys.argv[1]) / "integrations" / "providers"
with open(output_dir / "index.mdx", "w") as f: with open(output_dir / "index.mdx", "w") as f:
f.write(doc()) f.write(doc())

31
docs/sidebars.js
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@ -126,28 +126,49 @@ module.exports = {
collapsible: false, collapsible: false,
items: [ items: [
{ {
type: "autogenerated", type: "doc",
dirName: "integrations/platforms", id: "integrations/providers/anthropic",
},
{
type: "doc",
id: "integrations/providers/aws",
},
{
type: "doc",
id: "integrations/providers/google",
},
{
type: "doc",
id: "integrations/providers/huggingface",
},
{
type: "doc",
id: "integrations/providers/microsoft",
},
{
type: "doc",
id: "integrations/providers/openai",
}, },
{ {
type: "category", type: "category",
label: "More", label: "More",
collapsed: true, collapsible: false,
items: [ items: [
{ {
type: "autogenerated", type: "autogenerated",
dirName: "integrations/providers", dirName: "integrations/providers",
className: "hidden",
}, },
], ],
link: { link: {
type: "generated-index", type: "generated-index",
slug: "integrations/providers", slug: "integrations/providers/all",
}, },
}, },
], ],
link: { link: {
type: "doc", type: "doc",
id: "integrations/platforms/index", id: "integrations/providers/index",
}, },
}, },
{ {

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docs/src/theme/NotFound/Content/index.js
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@ -2769,8 +2769,8 @@ const suggestedLinks = {
"/docs/integrations/chat/hunyuan/": {"canonical": "/docs/integrations/chat/tencent_hunyuan/"}, "/docs/integrations/chat/hunyuan/": {"canonical": "/docs/integrations/chat/tencent_hunyuan/"},
"/docs/integrations/document_loaders/excel/": {"canonical": "/docs/integrations/document_loaders/microsoft_excel/"}, "/docs/integrations/document_loaders/excel/": {"canonical": "/docs/integrations/document_loaders/microsoft_excel/"},
"/docs/integrations/document_loaders/onenote/": {"canonical": "/docs/integrations/document_loaders/microsoft_onenote/"}, "/docs/integrations/document_loaders/onenote/": {"canonical": "/docs/integrations/document_loaders/microsoft_onenote/"},
"/docs/integrations/providers/aws_dynamodb/": {"canonical": "/docs/integrations/platforms/aws/"}, "/docs/integrations/providers/aws_dynamodb/": {"canonical": "/docs/integrations/providers/aws/"},
"/docs/integrations/providers/scann/": {"canonical": "/docs/integrations/platforms/google/"}, "/docs/integrations/providers/scann/": {"canonical": "/docs/integrations/providers/google/"},
"/docs/integrations/toolkits/google_drive/": {"canonical": "/docs/integrations/tools/google_drive/"}, "/docs/integrations/toolkits/google_drive/": {"canonical": "/docs/integrations/tools/google_drive/"},
"/docs/use_cases/question_answering/chat_vector_db/": {"canonical": "/docs/tutorials/rag/", "alternative": ["/v0.1/docs/use_cases/question_answering/"]}, "/docs/use_cases/question_answering/chat_vector_db/": {"canonical": "/docs/tutorials/rag/", "alternative": ["/v0.1/docs/use_cases/question_answering/"]},
"/docs/use_cases/question_answering/in_memory_question_answering/": {"canonical": "/docs/tutorials/rag/", "alternative": ["/v0.1/docs/use_cases/question_answering/"]}, "/docs/use_cases/question_answering/in_memory_question_answering/": {"canonical": "/docs/tutorials/rag/", "alternative": ["/v0.1/docs/use_cases/question_answering/"]},
@ -2791,24 +2791,24 @@ const suggestedLinks = {
"/docs/integrations/": {"canonical": "/docs/integrations/providers/"}, "/docs/integrations/": {"canonical": "/docs/integrations/providers/"},
"/docs/expression_language/cookbook/routing/": {"canonical": "/docs/how_to/routing/", "alternative": ["/v0.1/docs/expression_language/how_to/routing/"]}, "/docs/expression_language/cookbook/routing/": {"canonical": "/docs/how_to/routing/", "alternative": ["/v0.1/docs/expression_language/how_to/routing/"]},
"/docs/guides/expression_language/": {"canonical": "/docs/how_to/#langchain-expression-language-lcel", "alternative": ["/v0.1/docs/expression_language/"]}, "/docs/guides/expression_language/": {"canonical": "/docs/how_to/#langchain-expression-language-lcel", "alternative": ["/v0.1/docs/expression_language/"]},
"/docs/integrations/providers/amazon_api_gateway/": {"canonical": "/docs/integrations/platforms/aws/"}, "/docs/integrations/providers/amazon_api_gateway/": {"canonical": "/docs/integrations/providers/aws/"},
"/docs/integrations/providers/huggingface/": {"canonical": "/docs/integrations/platforms/huggingface/"}, "/docs/integrations/providers/huggingface/": {"canonical": "/docs/integrations/providers/huggingface/"},
"/docs/integrations/providers/azure_blob_storage/": {"canonical": "/docs/integrations/platforms/microsoft/"}, "/docs/integrations/providers/azure_blob_storage/": {"canonical": "/docs/integrations/providers/microsoft/"},
"/docs/integrations/providers/google_vertexai_matchingengine/": {"canonical": "/docs/integrations/platforms/google/"}, "/docs/integrations/providers/google_vertexai_matchingengine/": {"canonical": "/docs/integrations/providers/google/"},
"/docs/integrations/providers/aws_s3/": {"canonical": "/docs/integrations/platforms/aws/"}, "/docs/integrations/providers/aws_s3/": {"canonical": "/docs/integrations/providers/aws/"},
"/docs/integrations/providers/azure_openai/": {"canonical": "/docs/integrations/platforms/microsoft/"}, "/docs/integrations/providers/azure_openai/": {"canonical": "/docs/integrations/providers/microsoft/"},
"/docs/integrations/providers/azure_cognitive_search_/": {"canonical": "/docs/integrations/platforms/microsoft/"}, "/docs/integrations/providers/azure_cognitive_search_/": {"canonical": "/docs/integrations/providers/microsoft/"},
"/docs/integrations/providers/bedrock/": {"canonical": "/docs/integrations/platforms/aws/"}, "/docs/integrations/providers/bedrock/": {"canonical": "/docs/integrations/providers/aws/"},
"/docs/integrations/providers/google_bigquery/": {"canonical": "/docs/integrations/platforms/google/"}, "/docs/integrations/providers/google_bigquery/": {"canonical": "/docs/integrations/providers/google/"},
"/docs/integrations/providers/google_cloud_storage/": {"canonical": "/docs/integrations/platforms/google/"}, "/docs/integrations/providers/google_cloud_storage/": {"canonical": "/docs/integrations/providers/google/"},
"/docs/integrations/providers/google_drive/": {"canonical": "/docs/integrations/platforms/google/"}, "/docs/integrations/providers/google_drive/": {"canonical": "/docs/integrations/providers/google/"},
"/docs/integrations/providers/google_search/": {"canonical": "/docs/integrations/platforms/google/"}, "/docs/integrations/providers/google_search/": {"canonical": "/docs/integrations/providers/google/"},
"/docs/integrations/providers/microsoft_onedrive/": {"canonical": "/docs/integrations/platforms/microsoft/"}, "/docs/integrations/providers/microsoft_onedrive/": {"canonical": "/docs/integrations/providers/microsoft/"},
"/docs/integrations/providers/microsoft_powerpoint/": {"canonical": "/docs/integrations/platforms/microsoft/"}, "/docs/integrations/providers/microsoft_powerpoint/": {"canonical": "/docs/integrations/providers/microsoft/"},
"/docs/integrations/providers/microsoft_word/": {"canonical": "/docs/integrations/platforms/microsoft/"}, "/docs/integrations/providers/microsoft_word/": {"canonical": "/docs/integrations/providers/microsoft/"},
"/docs/integrations/providers/sagemaker_endpoint/": {"canonical": "/docs/integrations/platforms/aws/"}, "/docs/integrations/providers/sagemaker_endpoint/": {"canonical": "/docs/integrations/providers/aws/"},
"/docs/integrations/providers/sagemaker_tracking/": {"canonical": "/docs/integrations/callbacks/sagemaker_tracking/"}, "/docs/integrations/providers/sagemaker_tracking/": {"canonical": "/docs/integrations/callbacks/sagemaker_tracking/"},
"/docs/integrations/providers/openai/": {"canonical": "/docs/integrations/platforms/openai/"}, "/docs/integrations/providers/openai/": {"canonical": "/docs/integrations/providers/openai/"},
"/docs/integrations/cassandra/": {"canonical": "/docs/integrations/providers/cassandra/"}, "/docs/integrations/cassandra/": {"canonical": "/docs/integrations/providers/cassandra/"},
"/docs/integrations/providers/providers/semadb/": {"canonical": "/docs/integrations/providers/semadb/"}, "/docs/integrations/providers/providers/semadb/": {"canonical": "/docs/integrations/providers/semadb/"},
"/docs/integrations/vectorstores/vectorstores/semadb/": {"canonical": "/docs/integrations/vectorstores/semadb/"}, "/docs/integrations/vectorstores/vectorstores/semadb/": {"canonical": "/docs/integrations/vectorstores/semadb/"},
@ -2819,7 +2819,7 @@ const suggestedLinks = {
"/docs/integrations/document_loaders/Etherscan/": {"canonical": "/docs/integrations/document_loaders/etherscan/"}, "/docs/integrations/document_loaders/Etherscan/": {"canonical": "/docs/integrations/document_loaders/etherscan/"},
"/docs/integrations/document_loaders/merge_doc_loader/": {"canonical": "/docs/integrations/document_loaders/merge_doc/"}, "/docs/integrations/document_loaders/merge_doc_loader/": {"canonical": "/docs/integrations/document_loaders/merge_doc/"},
"/docs/integrations/document_loaders/recursive_url_loader/": {"canonical": "/docs/integrations/document_loaders/recursive_url/"}, "/docs/integrations/document_loaders/recursive_url_loader/": {"canonical": "/docs/integrations/document_loaders/recursive_url/"},
"/docs/integrations/providers/google_document_ai/": {"canonical": "/docs/integrations/platforms/google/"}, "/docs/integrations/providers/google_document_ai/": {"canonical": "/docs/integrations/providers/google/"},
"/docs/integrations/memory/motorhead_memory_managed/": {"canonical": "/docs/integrations/memory/motorhead_memory/"}, "/docs/integrations/memory/motorhead_memory_managed/": {"canonical": "/docs/integrations/memory/motorhead_memory/"},
"/docs/integrations/memory/dynamodb_chat_message_history/": {"canonical": "/docs/integrations/memory/aws_dynamodb/"}, "/docs/integrations/memory/dynamodb_chat_message_history/": {"canonical": "/docs/integrations/memory/aws_dynamodb/"},
"/docs/integrations/memory/entity_memory_with_sqlite/": {"canonical": "/docs/integrations/memory/sqlite/"}, "/docs/integrations/memory/entity_memory_with_sqlite/": {"canonical": "/docs/integrations/memory/sqlite/"},

4
docs/vercel.json
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@ -81,6 +81,10 @@
{ {
"source": "/docs/integrations/providers/mlflow_ai_gateway(/?)", "source": "/docs/integrations/providers/mlflow_ai_gateway(/?)",
"destination": "/docs/integrations/providers/mlflow/" "destination": "/docs/integrations/providers/mlflow/"
},
{
"source": "/docs/integrations/platforms/:path((?:anthropic|aws|google|huggingface|microsoft|openai)?/?)*",
"destination": "/docs/integrations/providers/:path*"
} }
] ]
} }