mirror of
https://github.com/hwchase17/langchain
synced 2024-11-13 19:10:52 +00:00
docs: platforms -> providers (#27285)
This commit is contained in:
Erick Friis
GitHub
parent
fdb7f951c8
commit
a38e903360
@ -38,7 +38,7 @@ conda install langchain -c conda-forge
|
||||
|
||||
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.
|
||||
- **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/).
|
||||
|
||||
@ -18,7 +18,7 @@ for dir; do \
|
||||
if find "$$dir" -maxdepth 1 -type f \( -name "pyproject.toml" -o -name "setup.py" \) | grep -q .; then \
|
||||
echo "$$dir"; \
|
||||
fi \
|
||||
done' sh {} + | grep -vE "airbyte|ibm|couchbase|databricks" | tr '\n' ' ')
|
||||
done' sh {} + | grep -vE "airbyte|ibm|databricks" | tr '\n' ' ')
|
||||
|
||||
PORT ?= 3001
|
||||
|
||||
|
||||
File diff suppressed because one or more lines are too long
@ -21,7 +21,7 @@
|
||||
"\n",
|
||||
"## Dependencies\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."
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@ -50,7 +50,7 @@ pip install langchain-core
|
||||
### Integration 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.
|
||||
To install one of these run:
|
||||
|
||||
|
||||
@ -113,7 +113,7 @@ See [Databricks SQL Agent](https://docs.databricks.com/en/large-language-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
|
||||
|
||||
@ -25,7 +25,7 @@
|
||||
"\n",
|
||||
"| Provider | Package |\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",
|
||||
"## Setup\n",
|
||||
"\n",
|
||||
|
||||
@ -8,7 +8,7 @@ sidebar_class_name: hidden
|
||||
**LangChain** is a framework for developing applications powered by large language models (LLMs).
|
||||
|
||||
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.
|
||||
- **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/).
|
||||
|
||||
@ -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
|
||||
- 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
|
||||
- [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?
|
||||
|
||||
@ -8,7 +8,7 @@ DOCS_DIR = Path(__file__).parents[1]
|
||||
PLATFORMS = {
|
||||
path.split("/")[-1][:-4]
|
||||
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 = {
|
||||
@ -71,15 +71,15 @@ CUSTOM_NAME = {
|
||||
"airbyte": "Airbyte",
|
||||
}
|
||||
CUSTOM_PROVIDER_PAGES = {
|
||||
"azure-dynamic-sessions": "/docs/integrations/platforms/microsoft/",
|
||||
"google-community": "/docs/integrations/platforms/google/",
|
||||
"google-genai": "/docs/integrations/platforms/google/",
|
||||
"google-vertexai": "/docs/integrations/platforms/google/",
|
||||
"azure-dynamic-sessions": "/docs/integrations/providers/microsoft/",
|
||||
"google-community": "/docs/integrations/providers/google/",
|
||||
"google-genai": "/docs/integrations/providers/google/",
|
||||
"google-vertexai": "/docs/integrations/providers/google/",
|
||||
"nvidia-ai-endpoints": "/docs/integrations/providers/nvidia/",
|
||||
"exa": "/docs/integrations/providers/exa_search/",
|
||||
"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 = {
|
||||
name: f"/docs/integrations/providers/{name}/"
|
||||
for name in ALL_PACKAGES
|
||||
@ -104,7 +104,7 @@ def package_row(name: str) -> 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))
|
||||
@ -136,12 +136,12 @@ These providers have standalone `langchain-{{provider}}` packages for improved v
|
||||
|
||||
## All Providers
|
||||
|
||||
Click [here](/docs/integrations/providers/) to see all providers.
|
||||
Click [here](/docs/integrations/providers/all) to see all providers.
|
||||
|
||||
"""
|
||||
|
||||
|
||||
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:
|
||||
f.write(doc())
|
||||
|
||||
@ -126,28 +126,49 @@ module.exports = {
|
||||
collapsible: false,
|
||||
items: [
|
||||
{
|
||||
type: "autogenerated",
|
||||
dirName: "integrations/platforms",
|
||||
type: "doc",
|
||||
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",
|
||||
label: "More",
|
||||
collapsed: true,
|
||||
collapsible: false,
|
||||
items: [
|
||||
{
|
||||
type: "autogenerated",
|
||||
dirName: "integrations/providers",
|
||||
className: "hidden",
|
||||
},
|
||||
],
|
||||
link: {
|
||||
type: "generated-index",
|
||||
slug: "integrations/providers",
|
||||
slug: "integrations/providers/all",
|
||||
},
|
||||
},
|
||||
],
|
||||
link: {
|
||||
type: "doc",
|
||||
id: "integrations/platforms/index",
|
||||
id: "integrations/providers/index",
|
||||
},
|
||||
},
|
||||
{
|
||||
|
||||
@ -2769,8 +2769,8 @@ const suggestedLinks = {
|
||||
"/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/onenote/": {"canonical": "/docs/integrations/document_loaders/microsoft_onenote/"},
|
||||
"/docs/integrations/providers/aws_dynamodb/": {"canonical": "/docs/integrations/platforms/aws/"},
|
||||
"/docs/integrations/providers/scann/": {"canonical": "/docs/integrations/platforms/google/"},
|
||||
"/docs/integrations/providers/aws_dynamodb/": {"canonical": "/docs/integrations/providers/aws/"},
|
||||
"/docs/integrations/providers/scann/": {"canonical": "/docs/integrations/providers/google/"},
|
||||
"/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/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/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/integrations/providers/amazon_api_gateway/": {"canonical": "/docs/integrations/platforms/aws/"},
|
||||
"/docs/integrations/providers/huggingface/": {"canonical": "/docs/integrations/platforms/huggingface/"},
|
||||
"/docs/integrations/providers/azure_blob_storage/": {"canonical": "/docs/integrations/platforms/microsoft/"},
|
||||
"/docs/integrations/providers/google_vertexai_matchingengine/": {"canonical": "/docs/integrations/platforms/google/"},
|
||||
"/docs/integrations/providers/aws_s3/": {"canonical": "/docs/integrations/platforms/aws/"},
|
||||
"/docs/integrations/providers/azure_openai/": {"canonical": "/docs/integrations/platforms/microsoft/"},
|
||||
"/docs/integrations/providers/azure_cognitive_search_/": {"canonical": "/docs/integrations/platforms/microsoft/"},
|
||||
"/docs/integrations/providers/bedrock/": {"canonical": "/docs/integrations/platforms/aws/"},
|
||||
"/docs/integrations/providers/google_bigquery/": {"canonical": "/docs/integrations/platforms/google/"},
|
||||
"/docs/integrations/providers/google_cloud_storage/": {"canonical": "/docs/integrations/platforms/google/"},
|
||||
"/docs/integrations/providers/google_drive/": {"canonical": "/docs/integrations/platforms/google/"},
|
||||
"/docs/integrations/providers/google_search/": {"canonical": "/docs/integrations/platforms/google/"},
|
||||
"/docs/integrations/providers/microsoft_onedrive/": {"canonical": "/docs/integrations/platforms/microsoft/"},
|
||||
"/docs/integrations/providers/microsoft_powerpoint/": {"canonical": "/docs/integrations/platforms/microsoft/"},
|
||||
"/docs/integrations/providers/microsoft_word/": {"canonical": "/docs/integrations/platforms/microsoft/"},
|
||||
"/docs/integrations/providers/sagemaker_endpoint/": {"canonical": "/docs/integrations/platforms/aws/"},
|
||||
"/docs/integrations/providers/amazon_api_gateway/": {"canonical": "/docs/integrations/providers/aws/"},
|
||||
"/docs/integrations/providers/huggingface/": {"canonical": "/docs/integrations/providers/huggingface/"},
|
||||
"/docs/integrations/providers/azure_blob_storage/": {"canonical": "/docs/integrations/providers/microsoft/"},
|
||||
"/docs/integrations/providers/google_vertexai_matchingengine/": {"canonical": "/docs/integrations/providers/google/"},
|
||||
"/docs/integrations/providers/aws_s3/": {"canonical": "/docs/integrations/providers/aws/"},
|
||||
"/docs/integrations/providers/azure_openai/": {"canonical": "/docs/integrations/providers/microsoft/"},
|
||||
"/docs/integrations/providers/azure_cognitive_search_/": {"canonical": "/docs/integrations/providers/microsoft/"},
|
||||
"/docs/integrations/providers/bedrock/": {"canonical": "/docs/integrations/providers/aws/"},
|
||||
"/docs/integrations/providers/google_bigquery/": {"canonical": "/docs/integrations/providers/google/"},
|
||||
"/docs/integrations/providers/google_cloud_storage/": {"canonical": "/docs/integrations/providers/google/"},
|
||||
"/docs/integrations/providers/google_drive/": {"canonical": "/docs/integrations/providers/google/"},
|
||||
"/docs/integrations/providers/google_search/": {"canonical": "/docs/integrations/providers/google/"},
|
||||
"/docs/integrations/providers/microsoft_onedrive/": {"canonical": "/docs/integrations/providers/microsoft/"},
|
||||
"/docs/integrations/providers/microsoft_powerpoint/": {"canonical": "/docs/integrations/providers/microsoft/"},
|
||||
"/docs/integrations/providers/microsoft_word/": {"canonical": "/docs/integrations/providers/microsoft/"},
|
||||
"/docs/integrations/providers/sagemaker_endpoint/": {"canonical": "/docs/integrations/providers/aws/"},
|
||||
"/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/providers/providers/semadb/": {"canonical": "/docs/integrations/providers/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/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/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/dynamodb_chat_message_history/": {"canonical": "/docs/integrations/memory/aws_dynamodb/"},
|
||||
"/docs/integrations/memory/entity_memory_with_sqlite/": {"canonical": "/docs/integrations/memory/sqlite/"},
|
||||
|
||||
@ -81,6 +81,10 @@
|
||||
{
|
||||
"source": "/docs/integrations/providers/mlflow_ai_gateway(/?)",
|
||||
"destination": "/docs/integrations/providers/mlflow/"
|
||||
},
|
||||
{
|
||||
"source": "/docs/integrations/platforms/:path((?:anthropic|aws|google|huggingface|microsoft|openai)?/?)*",
|
||||
"destination": "/docs/integrations/providers/:path*"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user